Computer Centre
2012-04-20
Nesstar PublisherVersion 1.0 (April 2012)Housing Condition and Migration Survey: NSS 49th Round, Schedule 1.2, January - June 1993 DDI-IND-MOSPI-NSSO-49Rnd-Sch1dot2-1993National Sample Survey Office
Governing council and Working Group
Survey Design Reearch Division
Field Operations Division
Data Processing Division
Computer Centre
Nesstar Publisher
M/o Statistics & Programme Implementation, GOIADG, SDRD , NSSO
Socio-Economic/Household Survey
Housing ConditionMigration Survey49th RoundSchedule 1.2January - June 1993The national sample survey (NSS), set-up by the government of India in 1950 to collect socio-economic data employing scientific sampling methods, completed its forty-ninth round as a six months survey during the period January to June,1993.
Housing condition of the people is one of the very important indicators of the socio-economic development of the country. Statistical data on housing condition in qualitative and quantitative terms are needed periodically for an assessment of housing stock and formulation of housing policies and programmes. NSS 49th round was devoted mainly to the survey on housing condition and migration with special emphasis on slum dwellers. An integrated schedule was designed for collecting data on 'housing condition' as well as ' migration '. Also,households living in the slums were adequately represented in the sample of households where the integrated schedule was canvassed.The present study was different from the earlier study in the sense that the coverage in the present round was much wider. Detailed information on migration have been made with a view to throw data on different facets of migration. For this reason we find separate migration data for males & females, migrant households, return migrants, the structure of the residence of the migrants' households before & after migration, status of the migrants before and after migration and other details on migration. It is to be noted that comprehensive data on out-migrants & return-migrants were collected for the first time in the 49th round.IndiaThe survey covered the whole of Indian union excepting ( i) Ladakh and kargil districts of Jammu & kashmir ( ii ) 768 interior villages of Nagaland ( out of a total of 1119 villages ) located beyond 5 kms. of a bus route and ( iii ) 172 villages in Andaman & Nicobar islands ( out of a total of 520 villages ) which are inaccessible throughout the year.Randomly selected households based on sampling procedure and members of the householdThe survey used the interview method of data collection from a sample of randomly selected households and members of the household
Sample survey data [ssd]
Field Operations Division of Naional Sample Survey Office
A two-stage stratified design was adopted for the 49th round survey. The first-stage units(fsu) were census villages in the rural sector and U.F.S. (Urban Frame Survey) blocks in the urban sector (However, for some of the newly declared towns of 1991 census for which UFS frames were not available, census EBs were first-stage units). The second-stage units were households in both the sectors. In the central sample altogether 5072 sample villages and 2928 urban sample blocks at all-India level were selected. Sixteen households were selected per sample village/block in each of which the schedule of enquiry was canvassed. The number of
sample households actually surveyed for the enquiry was 119403.
Sample frame for fsus : Mostly the 1981 census lists of villages constituted the sampling frame for rural sector. For Nagaland, the villages located within 5 kms. of a bus route constituted the sampling frame. For Andaman and Nicobar Islands, the list of accessible villages was used as the sampling frame. For the Urban sector, the lists of NSS Urban Frame Survey (UFS) blocks have been considered as the sampling frame in most cases. However, 1991 house listing EBs (Enumeration blocks) were considered as the sampling frame for some of the new towns of 1991 census, for which UFS frames were not available.
Stratification for rural sector : States have been divided into NSS regions by grouping contiguous districts similar in respect of population density and crop pattern. In Gujarat, however, some districts have been split for the purpose of region formation, considering the location of dry areas and distribution of tribal population in the state. In the rural sector, each district with 1981 / 1991 census rural population less than, 1.8 million/2 million formed a separate stratum. Districts with larger population were divided into two or more strata, by grouping contiguous tehsils.
Stratification for urban sector : In the urban sector, strata were formed, within the NSS region, according to census population size classes of towns. Each city with population 10 lakhs or more formed a separate stratum. Further, within each region, the different towns were grouped to form three different strata on the basis of their respective census population as follows : all towns with population less than 50,000 as stratum 1, those with population 50,000 to 1,99,999 as stratum-2 and those with population 2,00,000 to 9,99,999 as stratum-3.
Sample size for fsu's : The central sample comprised of 5072 villages and 2928 blocks.
Selection of first stage units : The sample villages have been selected with probability proportional to population with replacement and the sample blocks by simple random sampling without replacement. Selection was done in both the sectors in the form of two independent sub-samples.
There was no deviation from the original sample deviation.
Face-to-face [f2f]
Computer Centre
Validated unit level data relating to various survey rounds are available on CD-ROMS which can be obtained from the Deputy Director General, Computer Centre, M/O Statistics and PI, East Block No. 10 R.K. Puram, New Delhi-110066 by remitting the price along with packaging and postal charges as well as giving an undertaking duly signed in a specified format.The amount is to be remitted by way of demand draft drawn in favour of Pay & Accounts Officer, Ministry of Statistics & Programme Implementation, payable at New Delhi.
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Block-3-Part-1-household characteristics records.NSDstat
119421
39
Nesstar 200801
NSSO
Weight (multiplier)variables are included in each record
Block-3-Part-2-Persons--Particulars of past members outside-records.NSDstat
17292
33
Nesstar 200801
NSSO
Weight (multiplier)variables are included in each record
Block-4-Persons-Demographic and migration particulars-records.NSDstat
This dataset contains the demographic and migration particulars of each member of the household .
596712
47
Nesstar 200801
NSSO
Weight (multiplier)variables are included in each record
Block-5-Building and environment particulars- Records.NSDstat
Information relating to the building as a whole in which the sample household lives and particulars relating to the environment of the building contained in this dataset of block-5.
119403
39
Nesstar 200801
NSSO
Weight (multiplier)variables are included in each record
Block-6-Particulars of dwelling-Records.NSDstat
Dataset of this block contains details regarding the living accommodation occupied by the household. The items covered are mainly some structural aspects of the dwelling unit occupied by the sample household.
119403
42
Nesstar 200801
NSSO
Weight (multiplier)variables are included in each record
Block-7-Particulars of living facilities-Records.NSDstat
Information relating to housing amenities such as drinking water , sanitation , lighting , cooking , electricity and electric fittings and fixtures are cotained in ths dataset.
119397
49
Nesstar 200801
NSSO
Weight (multiplier)variables are included in each record
Block-8-Part-1--Particulars of building construction for residential purpose-Records.NSDstat
17651
31
Nesstar 200801
NSSO
Weight (multiplier)variables are included in each record
Block-8-Part-2--Particulars of building construction for residential purpose-Records.NSDstat
Some general particulars of the building construction made during the last 5 years by the sample household for residential purposes arecollected and recorded in this block. Provision made to record the particulars of 5 building constructions. As part-2 of this dataset, Source of finance (Q. 9-(a) to (j) are covered.
17553
35
Nesstar 200801
NSSO
Weight (multiplier)variables are included in each record
Block-8-Part-3--Particulars of building construction for residential purpose-Records.NSDstat
7484
33
Nesstar 200801
NSSO
Weight (multiplier)variables are included in each record
Block-9-Particulars of dwelling-land owned elsewhere-Records.NSDstat
This block contains the information regarding the dwelling unit / land owned by the sample household at places other than the one in which the household is presently residing.
119264
33
Nesstar 200801
NSSO
Weight (multiplier)variables are included in each record
Block-10-Use of public distribution system-Records.NSDstat
Information on the off take of essential commodities from public distribution system (pds) as well as other sources in terms of both the quantity and value of the goods purchased and also the reasons for not utilising the pds in respect of the different items of purchase are the content of this dataset.
699582
37
Nesstar 200801
NSSO
Weight (multiplier)variables are included in each record
Block-11-General particulars of slum dwellers-Records.NSDstat
Some broad information about the slum dwellers in regard to their stay in the slum, reason for movement to the slum, whether received/expects any benefit as a slum dweller, whether tried to move out of the slum etc., are the content of this dataset.
11322
32
Nesstar 200801
NSSO
Weight (multiplier)variables are included in each record
Key to locate Hhold
119421
0
Round-Schedule
119421
0
493
119421
First 2 digits indicate NSS Round number(49) and next digit refers to schedule number 12.1 (3)
Record Identifier
119421
0
01
119421
Sample
Sample
119421
0
1
Central sample
119421
2
State sample
0
Sub-Round
Sub-Round
119421
0
1
Sub-round-1
60990
2
Sub-round-2
58431
Sub-sample
Sub-sample
119421
0
The sample villages have been selected with probability proportional to population with replacement and the sample blocks by simple random sampling without replacement. Selection was done in both the sectors in the form of two independent sub-samples(sub-sample-1 &2).
1
Sub-sample-1
59683
2
Sub-sample-2
59738
Sector
Sector
119421
0
1
Rural
75050
2
Urban
44371
State
State code
119421
0
02
Andhra Pradesh
8840
03
Arunachal Pradesh
1546
04
Assam
4419
05
Bihar
8839
06
Goa
415
07
Gujarat
4845
08
Haryana
1773
09
Himachal Pradesh
2407
10
Jammu & Kashmir
1439
11
Karnataka
5402
12
Kerala
4304
13
Madhya Pradesh
8831
14
Maharashtra
10196
15
Manipur
1760
16
Meghalaya
1584
17
Mizoram
1436
18
Nagaland
846
19
Orissa
4193
20
Punjab
3745
21
Rajasthan
5124
22
Sikkim
640
23
Tamil Nadu
8438
24
Tripura
2128
25
Uttar Pradesh
14130
26
West Bengal
8166
27
A & N Islands
1085
28
Chandigarh
369
29
Dadra & Nagar Haveli
384
30
Daman & Diu
320
31
Delhi
1049
32
Lakshdweep
272
33
Pondicherry
496
Region
Region code
119421
0
States have been divided into regions by grouping contiguous districts similar in respect of population density and crop pattern. In Gujarat, however, some districts have been split for the purpose of region formation, considering the location of dry areas and the distribution of tribal population in the state. The compositions of the regions are given in Appendix-II of instruction manual
1
Region-1
44753
2
Region-2
31923
3
Region-3
20034
4
Region-4
15663
5
Region-5
4605
6
Region-6
1371
7
Region-7
1072
Stratum No
Stratum No
119421
0
01
21403
02
16705
03
12515
04
11468
05
2591
06
2492
07
2209
08
2206
09
2405
10
2337
11
2265
12
2382
13
1935
14
1758
15
1918
16
1759
17
1661
18
1455
19
1341
20
1552
21
1230
22
1280
23
1200
24
879
25
1198
26
1071
27
1178
28
1083
29
718
30
976
31
736
32
960
33
880
34
815
35
608
36
399
37
281
38
303
39
346
40
382
41
432
42
496
43
383
44
383
45
368
46
320
47
384
48
128
49
255
50
317
51
192
52
256
53
320
54
255
55
384
56
251
57
304
58
256
59
256
60
113
61
128
62
64
63
64
64
192
65
128
66
128
67
128
68
192
69
121
70
64
71
127
72
128
73
128
74
128
75
128
76
64
77
128
78
128
79
64
80
64
81
64
82
128
Sub-stratum
Sub-stratum
119421
0
0
75050
1
6730
2
37641
Village/Block Sr. No.(FSU)
Village/Block Sr. No.(First Stage Unit)
119421
0
Hamlet Group/Sub-block No.
Hamlet Group/Sub-block No.
119421
0
Large villages and blocks having present population 1200 or more will be divided into a suitable number of hamlet-groups and sub-blocks respectively in a way to have approximately equal population content.
0
91340
1
28081
Second-stage stratum no.
Second-stage stratum no.
119421
0
1
52505
2
66916
Flot No.
Flot No.
119421
0
Sample Household no.
Sample Household no.
119421
0
Informant's relation to head
Informant `s relation to head
Relation of the informant with the head of the household will be recorded in terms of codes.
119421
0
0
NR
72
1
Head oh Household
82262
2
Other member of Hhold
34016
9
Others
3071
Response Code
Response Code
This item will be filled-in on the basis of the impression formed by the investigator regarding the overall response of the informant after collecting the required information for all items of blocks 3 to 11.
119421
0
0
NR
48
1
98872
2
Co-operative but not capable
19035
3
733
4
662
9
71
Survey Code
Survey Code
119421
0
0
NR
22
1
Original hhold surveyed
117237
2
Substitute hhold surveyed
2160
3
Causality`
0
9
Invalid
2
Reason for substitution(code)
Reason for substitution of the original household
If the originally selected sample household could not be surveyed, irrespective of whether substituted household could be surveyed or not, the reason, there of will be recorded against this item in terms of codes.
119421
0
0
NR
117334
1
280
2
Co-operative but not capable
1486
3
218
9
103
Household Size
Household Size
Size refers to the number of normally resident members of the household as listed in block 4. The total number of normally resident members of the household (i.e., the last serial number in column 1 of block 4) will be recorded in a 2 digit formation against this item. Thus `5` will be recorded as `05`.
119421
0
1
39
4.997
2.713
Land Possessed (Code)
Land Possessed (Code)
119421
0
00
NR
451
01
42750
02
26533
03
9992
04
13884
05
11982
06
5825
07
2793
08
2303
09
1039
10
1851
99
Invalid
18
Monthly Consumer Expenditure
Average monthly consumer expenditure (Rs)
This is the expenditure of a household on domestic consumption and is same as the expenditure covered in the consumer expenditure surveys of NSS. The average monthly consumer expenditure worked out on the basis of the preceding 12 months from the date of survey will be recorded against this item. The expenditure will be entered in whole number in rupees.
119421
0
0
63600
1339.377
1002.204
Social Group (Code)
Social Group (Code)
119421
0
0
NR
65
1
14639
2
21932
8
Invalid
32
9
82753
No. of family nuclei
Number of family nuclei
119421
0
H.H. moved during 365 days
Whether the household moved to the village/town of enumeration during the last 365 days (yes-1, no-2)
This is for recording the information on movement of the sample household. If the entire household, as now being enumerated has moved to the place of enumeration during the last 365 days preceding the date of survey, the same will be considered for recording `yes` against this item. If one member of the household has moved ahead of other members to the present household and others have joined later (but all of them during the reference year) such cases will also be considered for recording `yes`. Where, some members of the household were born or married into households which have moved, during the last year, the entire household is to be treated as moved to the place of enumeration. Within a village or town, shifting or house from one locality to another should not be considered as movement. The entry will be recorded in codes, i.e., 1 for `yes` and 2 for `no`.
119421
0
0
NR
33
1
Yes
3611
2
No
115777
Location of last residence
Check code in Q6=1. If 1(yes) proceed
Location of last residence ( code )
If code in Q6 other than 1 skip to Q 11
Item 7 to 10 will be filled up only if the household has moved to the place of enumeration during the last 365 days i.e., only if the entry in item 6 is `1`. The type of the place from which the household moved to the place of enumeration is to be recorded here. The location, therefore, refers to whether the place was rural or urban in the same district or state etc.
119421
0
0
NA
115849
1
1250
2
445
3
563
4
551
5
340
6
404
7
Another country
19
Nature of movement
Check code in Q6=1. If 1(yes) proceed
If code in Q6 other than 1 skip to Q 11
The movement of the household to the place of enumeration may be only a temporary movement (i. e., the household intends to move again to the original place or another place within six months) or a permanent movement (i. e., the household intends to stay (or has stayed) at the place of enumeration for more than six months). A temporary movement could be a seasonal movement or non-seasonal. This nature of movement will be recorded in code
119421
0
0
NA
115844
1
560
2
1105
3
1909
9
Invalid
3
Reason for movement (code)
Check code in Q6=1. If 1(yes) proceed
Reason for movement (code)
If code in Q6 other than 1 skip to Q 11
For each household reported as having moved, the reason for such movement will be ascertained and recorded in codes. While ascertaining the reason, it may be noted that though different members of the household may have differing reasons to record, only that factor which is the basic reason for the decision to shift the household should be considered. This has to be ascertained through proper probings. This reasons for movement categorised with their corresponding codes
119421
0
00
NA
115853
01
515
02
735
03
To take up employment/better employment
525
04
690
05
88
06
526
07
69
08
102
09
102
10
13
19
197
99
Invalid
6
Type of structure (code)
Check code in Q6=1. If 1(yes) proceed
Type of structure where household lived last (pucca-1, semi-pucca-2, serviceable katcha-3, non-serviceable katcha-4, no structura-5).
If code in Q6 other than 1 skip to Q 11
For the household which has moved to the place of enumeration, the type of structure where the household lived before movement to the place of enumeration is to be ascertained. The places and structures where the household had lived as a stop gap measure (period less than six months) before moving to the place of enumeration are to be ignored for the purpose. The type of structure refers to the materials used for different parts of building and is to be identified as per the definitions given earlier for each of the different type of structure viz, pucca, semi pucca, serviceable and non-serviceable katcha. If the household had no structure to live in, it is also to be entered against this item. The relevant code for the various types mentioned above only is to be recorded against this item.
119421
0
0
NA
115848
1
Pucca
1637
2
Semi-pucca
999
3
Serviceable katcha
740
4
Non-serviceable katcha-4, no structura-5).
169
5
No structure
26
9
Invalid
2
Any former member stayed outside
Did any former member of the household leave the household for stay outside the state during the last 5 years ( yes : abroad-1, India-2, no : 3 )
In order to collect data on out migration to other states in the country, as also emigration to other countries, information regarding the persons who have left the household and gone outside the state where the household is located is to be collected. Code 1 or 2 will be given depending on if any member of the household has taken up residence in another state or gone abroad during the last 5 years. In case no member has left the household code 3 will be given. It is important to note that only those persons who were members of the household at the time and their departure and are presently alive and staying in another state or abroad are to be considered. Any member who had gone abroad during the last five years but returned to the household or to another place within the state will not be considered. Persons gone out for purely temporary purposes for short periods, say, for meetings/conferences of official tours or tourism purpose, participation in games, sports etc. will not be considered. Where more than on former member of the household are staying outside, and one is abroad and the other(s) in India, code 1 may be recorded, ie, person(s) staying abroad getting priority.
119421
0
1
Yes,Abroad
2358
2
Yes,India
11478
3
No
105585
No. of former members
If yes (code 1 or 2 ) in item 11, their No. of former members stayed outside
number if for any household, its past members are found to be staying outside the state/country and their migration has happened during the last five years (i.e., `yes` recorded in item 11) , then, the particulars of such persons are to be recorded in different columns of this item. Number of such former members is to be entered in the space provided
119421
0
Fractile(MPCE)-State
119421
0
01
21113
02
13221
03
12018
04
10624
05
10895
06
10780
07
10412
08
10268
09
10141
10
5497
11
4452
These are derived variables
Fractile(MPCE)-All India
119421
0
01
21723
02
14639
03
12162
04
11299
05
10911
06
10381
07
10131
08
9686
09
9390
10
4670
11
4429
These are derived variables
Fractile(Area)-State
119421
0
01
38105
02
17148
03
14652
04
12698
05
10008
06
8202
07
7273
08
5668
09
4028
10
1103
11
536
These are derived variables
Fractile(Area)-All India
119421
0
01
39890
02
17475
03
14253
04
11863
05
9676
06
7910
07
6749
08
5522
09
3831
10
1309
11
943
These are derived variables
Monthly per capita expenditure(0.00)
119421
0
0
20000
300.728
230.275
These are derived variables
Multiplier-Subsample(0.00)
119421
0
0.85
237996.2
2602.734
4067.112
Weight variables generated for Subsample-wise estimate
Multiplier-Combined(0.00)
119421
0
0.42
118998.1
1305.342
2043.843
Weight variables generated for combined estimate
Key to locate Hhold
17292
0
Generated KEY variables
Key to locate person slno
17292
0
Generated KEY variables
Round-Schedule
17292
0
See respective variables in Block-3 data set for details
493
17292
Record Identifier
17292
0
See respective variables in Block-3 data set for details
02
17292
Sample
17292
0
See respective variables in Block-3 data set for details
1
17292
Sub-round
17292
0
See respective variables in Block-3 data set for details
1
9541
2
7751
Sub_sample
17292
0
See respective variables in Block-3 data set for details
1
Sub-sample-1
8604
2
Sub-sample-2
8688
Sector
17292
0
See respective variables in Block-3 data set for details
1
Rural
13359
2
Urban
3933
State
17292
0
See respective variables in Block-3 data set for details
02
Andhra Pradesh
432
03
Arunachal Pradesh
73
04
Assam
343
05
Bihar
2942
06
Goa
78
07
Gujarat
273
08
Haryana
353
09
Himachal Pradesh
473
10
Jammu & Kashmir
343
11
Karnataka
540
12
Kerala
2015
13
Madhya Pradesh
637
14
Maharashtra
238
15
Manipur
299
16
Meghalaya
41
17
Mizoram
135
18
Nagaland
133
19
Orissa
359
20
Punjab
771
21
Rajasthan
1043
22
Sikkim
81
23
Tamil Nadu
784
24
Tripura
269
25
Uttar Pradesh
3591
26
West Bengal
637
27
A & N Islands
77
28
Chandigarh
36
29
Dadra & Nagar Haveli
30
30
Daman & Diu
97
31
Delhi
28
32
Lakshdweep
61
33
Pondicherry
80
Region
17292
0
See respective variables in Block-3 data set for details
1
Region-1
6120
2
Region-2
6030
3
Region-3
2147
4
Region-4
2522
5
Region-5
331
6
Region-6
28
7
Region-7
114
Stratum_No
17292
0
See respective variables in Block-3 data set for details
Sub_stratum
17292
0
See respective variables in Block-3 data set for details
Village/Block Sr. No.(FSU)
17292
0
See respective variables in Block-3 data set for details
Hamlet Group/Sub-block No.
17292
0
See respective variables in Block-3 data set for details
Second-stage stratum no.
17292
0
See respective variables in Block-3 data set for details
Flot
17292
0
See respective variables in Block-3 data set for details
Sample Household no.
17292
0
See respective variables in Block-3 data set for details
Person Srl. No.
Sl.No.
If past members are found to be staying outside the state/country and their migration has happened during the last five years they are to be o be listed in column 1 with a continuous serial numbering. While listing, all those who are abroad may be listed first.
17292
0
Sex
Sex code
For each person listed, the sex code (male-1, female-2) is to be recorded in column 2.
17292
0
1
Male
15438
2
Female
1852
9
Invalid
2
Age
Age (years)
Age in completed years is to be entered in col.(3) for each person listed
17292
0
0
90
25.94
10.215
Where residing (code)
Where residing (in abroad-1, Indis-2)?
17292
0
1
In Abroad
2640
2
India
14652
Reason of migration(code)
17292
0
0
NR
26
1
8318
2
Transfer of service/contract/take up employment
4239
3
2779
4
323
5
1063
9
Others
544
Period since leaving(years)
Period since leaving(years)
The period, since the person has left the household will be recorded in completed years, i.e., period less than 1 year will be entered as `0`, 1 to 2 years will be entered as 1 and so on. However in the case of a person who goes abroad after first staying in another state within the country, then only the period since leaving the country, will be counted. It is also worth nothing that period as obtained in this column will not exceed 5 years.
17292
0
0
89
2.291
2.407
Expected duration of stay(code)
Check if code 0 in q12-col-6. If yes, proceed.
Expected duration of stay(code)
In the case of a person who has left the household during the last year, i.e., the period since leaving is '0' year, then the expected duration of stay abroad or in another state including the period already stayed will be noted in this column. This duration will be recorded in codes as follows :
17292
0
0
NA
14151
1
Less than six month
917
2
2157
9
Invalid
67
Whether employed (Code)
whether employed ( yes-1, no-2)?
For each person the fact whether he/she is employed will be noted in the column. Code 1 or 2 will be entered as the case may be.
17292
0
0
NR
41
1
Yes
12789
2
No
4462
Whether making remittances
whether making remittances (yes-1, no-2)?
Remittance refer to the transfer of money by the persons staying outside to any member of the household more or less on a regular manner. The interval may be say, 1 month, six month or even a year. code 1 or 2 will be entered depending on whether remittances are being received or not.
17292
0
0
NR
102
1
Yes
10873
2
No
6317
Fractile(MPCE)-State
17292
0
01
2648
02
1543
03
1346
04
1266
05
1421
06
1487
07
1409
08
1866
09
1934
10
1226
11
1146
Generated variables
Fractile(MPCE)-All India
17292
0
01
2410
02
2010
03
1435
04
1514
05
1428
06
1441
07
1567
08
1607
09
1840
10
918
11
1122
Generated variables
Fractile(Area)-State
17292
0
01
4494
02
1960
03
1944
04
1890
05
1628
06
1407
07
1439
08
1165
09
940
10
287
11
138
Generated variables
Fractile(Area)-All India
17292
0
01
5049
02
2168
03
1964
04
1732
05
1527
06
1345
07
1178
08
1053
09
703
10
338
11
235
Generated variables
Monthly Per capita Expenditure
17292
0
0
5000
297.557
229.686
Generated variables
Multiplier--Subsample(0.00)
17292
0
1.28
25246
864.721
1494.927
Multiplier-Combined(0.00)
17292
0
0.64
12623
433.26
747.499
Key to identify hhold
596712
0
Key to identify Person
596712
0
Generated KEY variable
Round-Schedule
596712
0
493
596712
Generated KEY variable
Record Identifier
Same as in dataset of Block-3
596712
0
See respective variables in dataset of Block-3 for details
03
596712
Sample
Same as in dataset of Block-3
596712
0
See respective variables in dataset of Block-3 for details
1
Central sample
596712
2
State sample
0
Sub_sample
Same as in dataset of Block-3
596712
0
See respective variables in dataset of Block-3 for details
1
Sub-sample-1
297922
2
Sub-sample-2
298790
Sub-Round
Same as in dataset of Block-3
596712
0
See respective variables in dataset of Block-3 for details
1
Sub-round-1
307534
2
Sub-round-2
289178
Sector
Same as in dataset of Block-3
596712
0
See respective variables in dataset of Block-3 for details
1
Rural
389847
2
Urban
206865
State
Same as in dataset of Block-3
596712
0
See respective variables in dataset of Block-3 for details
02
Andhra Pradesh
39453
03
Arunachal Pradesh
8164
04
Assam
22184
05
Bihar
45800
06
Goa
1842
07
Gujarat
24115
08
Haryana
9759
09
Himachal Pradesh
11551
10
Jammu & Kashmir
7570
11
Karnataka
26873
12
Kerala
20976
13
Madhya Pradesh
47062
14
Maharashtra
49360
15
Manipur
10072
16
Meghalaya
7774
17
Mizoram
8126
18
Nagaland
4097
19
Orissa
20792
20
Punjab
18363
21
Rajasthan
26919
22
Sikkim
3044
23
Tamil Nadu
34775
24
Tripura
10000
25
Uttar Pradesh
79789
26
West Bengal
39346
27
A & N Islands
5127
28
Chandigarh
1569
29
Dadra & Nagar Haveli
1802
30
Daman & Diu
1560
31
Delhi
4825
32
Lakshdweep
1709
33
Pondicherry
2314
Region
Same as in dataset of Block-3
596712
0
See respective variables in dataset of Block-3 for details
1
Region-1
218146
2
Region-2
160193
3
Region-3
97795
4
Region-4
83473
5
Region-5
23513
6
Region-6
7091
7
Region-7
6501
Stratum_No
Same as in dataset of Block-3
596712
0
See respective variables in dataset of Block-3 for details
Sub_stratum
Same as in dataset of Block-3
596712
0
See respective variables in dataset of Block-3 for details
Village/Block Sr. No.(FSU)
Same as in dataset of Block-3
596712
0
See respective variables in dataset of Block-3 for details
Hamlet Group/Sub-block No.
Same as in dataset of Block-3
596712
0
See respective variables in dataset of Block-3 for details
Second-stage stratum No.
Same as in dataset of Block-3
596712
0
See respective variables in dataset of Block-3 for details
Flot no
Same as in dataset of Block-3
596712
0
See respective variables in dataset of Block-3 for details
Sample Household No.
Same as in dataset of Block-3
596712
0
See respective variables in dataset of Block-3 for details
Person srl No.
serial no.
596712
0
000
29
001
119361
002
110641
003
100064
004
85153
005
64207
006
42911
007
26708
008
16400
009
10242
010
6726
011
4368
012
2949
013
1987
014
1416
015
1002
016
705
017
500
018
352
019
267
020
196
021
132
022
101
023
74
024
57
025
39
026
29
027
24
028
15
029
11
030
12
031
6
032
6
033
4
034
2
035
2
036
2
037
1
038
1
039
1
044
1
110
1
113
1
120
1
145
1
205
1
222
1
224
1
513
1
Relation to head (code)
Relation to head (code)
Relation refers to the family relationship of the member to the head of the household
596712
0
0
NR
75
1
119587
2
93312
3
28012
4
29073
5
229733
6
49406
7
15980
8
Brother/sister/brother-in-law/sister-in-law Other Relatives
29877
9
1657
Sex
sex (male-1, female-2)
Depending on the sex of each member of the hh, 1 (for male) or 2 (for female) will be entered in this column.
596712
0
1
Male
308692
2
Female
288020
Age
Age ( years )
Age of each member in completed years as on the date of survey will be recorded in this column in a two digit formation. Thus, a child who is less than an year old will have an entry `00` and a person who is less than an year old will have an entry '00' and a person who is 35 years and 9 months, will have an entry '35'. For a person who has completed 8 years, the entry will be '08'.
596712
0
0
99
25.175
18.649
Marital status
Marital status (code)
The marital status of each member will be recorded in this column in codes
596712
0
0
NR
197
1
304524
2
Currently married
261819
3
28210
4
Divorced/separated
1909
9
Invalid
53
Education Level (code)
Educational level (code)
Educational level here refers to only the general education standard of the member of the household. For a person who has attended educational institutions or qualified in educational courses, the standard will be ascertained on the basis of the course successfully completed. Merely having studies up to a level, say BA., will not be enough. He/she should have completed the BA.. course successfully to be treated as graduate. For this column, one will be considered literate if he / she can `read and write a simple sentence in any language. Primary level signifies classes I-IV or I-V as per the local practice. Classes V/VI to VII will be middle. Classes VIII to X will be secondary and XI to XII or equivalent course will be higher secondary. The educational level will be entered in codes
596712
0
0
267557
1
8101
2
87693
3
86644
4
67279
5
41883
6
18696
7
18750
9
Invalid
109
School attendance (code)
Check age. If 5-24 years ASK question
school attendance ( code ) for age 5-24 years
Skip to next Question otherwise
For persons in the age group 5 to 24 years, the information about their attendance in schools is to be collected.
596712
0
0
NA
337802
1
15711
2
133662
3
Attended but dropped out of schoool
43569
4
65802
9
Invalid
166
Principal Usual Activity Status code
principal usual activity status (code)
The principal usual activity status of a person will be determined on the basis of the various activities pursued by the person during the reference period of 365 days preceding the date of survey adopting a 'relatively long time' ( or major time) criterion. The usual activities are grouped into three major categories 'working' 'not working but seeking and / or available for work' and 'neither working nor available for work'. For assigning suitable usual activity status codes to a person, he has to be first assigned one of the above three categories on the basis of the time spent on them during the reference period of 365 days. Only the normal working time available for pursuing any activity and not the 24 hours of each day will be considered for the purpose.
596712
0
00
NA
1220
01
79025
02
34116
03
2718
04
36600
05
40758
06
19021
07
6987
08
137389
09
121422
10
46086
11
71081
99
Invalid
289
Usual Acty Occupation (NCO code)
Check code 1-6 in Q.9. If yes ask.
Skip otherwise
596712
0
SubsidiaryActivity Status code
Subsidiary gainful activity status (code)
For all persons listed in block 4 other than those in age group 0-4 years, the subsidiary gainful activity status, if any, will be recorded in codes similar to those used in recording principal usual activity status. However as only 'subsidiary gainful' activity status is recorded in this column, codes 7-11 will not be applicable. For persons also have no subsidiary gainful activity status it will be indicated by a ` - ` against that person.
596712
0
00
NA
540136
01
34176
02
4946
03
263
04
663
05
12148
06
3485
07
14
08
143
09
474
10
122
11
78
99
Invalid
64
Sub Acty Occupation (NCO code)
Subsidiary gainful activity - occupation
For persons with code 1-6 in column 11, occupation codes as per NCO of 1968 will be recorded in three digits.
596712
0
Distance to place of work(code)
If code is 1 to 6 in Q.9 or q.11 Ask this Question
Distance to place of work (codes)
Skip otherwise
For those who are employed ie. having principal status code in column 9 and / or subsidiary status code in column 11 any one of 1 to 6, the distance to place of work will be ascertained in kilometers and entered in code corresponding to different class intervals. The place of work will be first broadly classified in the three groups viz. (i) same village or town (ii) another village and (iii) another town, and codes will be assigned
596712
0
00
NA
375307
01
73151
02
52866
03
42128
04
26075
05
9314
06
3001
07
1282
08
Another village:less than 0.5
304
09
385
10
1046
11
2184
12
1631
13
998
14
636
15
125
16
117
17
188
18
687
19
927
20
1213
21
3110
99
Invalid
37
Unemployed reason (code)
If unemployed ,reason (code)?
596712
0
0
NA
585088
1
Loss of earlier job
465
2
Qit earlier job
545
3
Lay offwithout pay
29
4
Lack of work in the enterprise
550
5
Unit has closed down
55
6
Lack of work in the area
211
7
4978
9
Other reasons
4791
Last usual place of residence(UPR) diff ?
If Yes(code-1) in Q.15 ask
Whether last usual place of residence(UPR) different from place of enumeration ?
if otherwise,then skip all questions upto q.24
596712
0
0
NA
286
1
Yes
157797
2
No
438595
9
Invalid
34
Years since leaving last UPR
f Yes(code-1) in Q.15 ask
Years since leaving last UPR
if otherwise,then skip all questions upto q.24
596712
0
0
95
3.748
9.434
Last UPR Location (code)
f Yes(code-1) in Q.15 ask
Last UPR location
if otherwise,then skip all questions upto q.24
596712
0
0
NA
439041
1
82420
2
13034
3
25776
4
13005
5
13340
6
8330
7
Another country
1740
9
Invalid
26
Last UPR State/UT/Country (code)
f Yes(code-1) in Q.15 ask
Last UPR State/UT/Country (code)
if otherwise,then skip all questions upto q.24
596712
0
00
NA
439983
01
Bangladesh
808
02
Nepal
12638
03
Pakistan
943
04
Srilanka
3068
05
Bhutan
7114
06
Gulf countries
491
07
Other Asian Countries
6685
08
U. S. A.
2976
09
Other countries of North & South America
3571
10
U. K.
1763
11
Other countries of europe
7346
12
Countries of Africa
6087
13
Rest of the World
14577
14
16978
15
282
16
99
17
893
18
144
19
5250
20
5309
21
9193
22
170
23
11093
24
1330
25
23627
26
11133
27
1384
28
108
29
422
30
109
31
768
32
187
33
158
99
Invalid
25
Last UPR Principal usual acty Status code
f Yes(code-1) in Q.15 ask
Last UPR Principal usual acty Status code
if otherwise,then skip all questions upto q.24
Same as in Q.9
596712
0
00
NA
440225
01
14172
02
4617
03
434
04
8914
05
12675
06
3733
07
3616
08
18479
09
75502
10
5433
11
8634
99
Invalid
278
Last UPR usual acty Occupation (NCO code)
f Yes(code-1) in Q.15 ask
Last UPR usual acty Occupation (NCO code)
if otherwise,then skip all questions upto q.24
Same as in Q.10
596712
0
Last UPR Sub Acty Status code
f Yes(code-1) in Q.15 ask
Last UPR Sub Acty Status code
if otherwise,then skip all questions upto q.24
Same as in Q.11
596712
0
00
NA
590806
01
3698
02
301
03
38
04
43
05
1429
06
225
07
3
08
12
09
136
10
2
11
11
99
Invalid
8
Last UPR Sub Acty Occupation (NCO code)
f Yes(code-1) in Q.15 ask
Last UPR Sub Acty Occupation (NCO code)
if otherwise,then skip all questions upto q.24
Same as in Q.12
596712
0
Reason leaving last UPR
f Yes(code-1) in Q.15 ask
Reason leaving last UPR
if otherwise,then skip all questions upto q.24
596712
0
00
NA
439501
01
6552
02
9988
03
To take up employment / better employment
4434
04
5254
05
721
06
4029
07
1412
08
1311
09
2189
10
281
11
80506
12
35760
19
Others
4752
99
Invalid
22
Was place of enum lUPR?
f Yes(code-1) in Q.15 ask
if otherwise,then skip all questions upto q.24
596712
0
0
NA
439171
1
Yes
11895
2
No
145640
9
Invalid
6
Fractile(MPCE)-State
596712
0
01
55973
02
49013
03
51302
04
51715
05
54744
06
59429
07
60301
08
63420
09
68203
10
41808
11
40804
Generated variables
Fractile(MPCE)-All India
596712
0
01
57861
02
54677
03
53927
04
54793
05
56883
06
57904
07
59646
08
60981
09
64228
10
35790
11
40022
Generated variables
Fractile(Area)-State
596712
0
01
227779
02
94354
03
75285
04
60350
05
44475
06
34528
07
27391
08
18505
09
10994
10
2222
11
829
Generated variables
Fractile(Area)-All India
596712
0
01
240833
02
96338
03
72092
04
55538
05
41856
06
32175
07
24829
08
18221
09
10389
10
2808
11
1633
Generated variables
Monthly Per capita Expend.
596711
1
0
20000
268.035
185.819
Generated variables
Multiplier-Subsample(0.00)
596712
0
0.85
237996.2
2592.309
3971.133
Multiplier-Combined(0.00)
596712
0
0.42
118998.1
1299.638
1993.609
Key to identify hhold
119403
0
Generated KEY variable
Round-Schedule
See respective variables in dataset of Block-3 for details
See respective variables in dataset of Block-3 for details
119403
0
See respective variables in dataset of Block-3 for details
493
119403
Record identifier
See respective variables in dataset of Block-3 for details
See respective variables in dataset of Block-3 for details
119403
0
See respective variables in dataset of Block-3 for details
04
119403
Sample
See respective variables in dataset of Block-3 for details
See respective variables in dataset of Block-3 for details
119403
0
See respective variables in dataset of Block-3 for details
1
Central sample
119403
2
State sample
0
Sub-Round
See respective variables in dataset of Block-3 for details
See respective variables in dataset of Block-3 for details
119403
0
See respective variables in dataset of Block-3 for details
1
Sub-round-1
60983
2
Sub-round-2
58420
Sub_sample
See respective variables in dataset of Block-3 for details
See respective variables in dataset of Block-3 for details
119403
0
See respective variables in dataset of Block-3 for details
1
Sub-sample-1
59671
2
Sub-sample-2
59732
Sector
See respective variables in dataset of Block-3 for details
See respective variables in dataset of Block-3 for details
119403
0
See respective variables in dataset of Block-3 for details
1
Rural
75036
2
Urban
44367
State
See respective variables in dataset of Block-3 for details
See respective variables in dataset of Block-3 for details
119403
0
See respective variables in dataset of Block-3 for details
02
Andhra Pradesh
8839
03
Arunachal Pradesh
1546
04
Assam
4416
05
Bihar
8838
06
Goa
414
07
Gujarat
4845
08
Haryana
1772
09
Himachal Pradesh
2407
10
Jammu & Kashmir
1439
11
Karnataka
5402
12
Kerala
4303
13
Madhya Pradesh
8831
14
Maharashtra
10196
15
Manipur
1759
16
Meghalaya
1584
17
Mizoram
1435
18
Nagaland
846
19
Orissa
4192
20
Punjab
3745
21
Rajasthan
5122
22
Sikkim
640
23
Tamil Nadu
8436
24
Tripura
2128
25
Uttar Pradesh
14128
26
West Bengal
8165
27
A & N Islands
1085
28
Chandigarh
369
29
Dadra & Nagar Haveli
384
30
Daman & Diu
320
31
Delhi
1049
32
Lakshdweep
272
33
Pondicherry
496
Region
See respective variables in dataset of Block-3 for details
See respective variables in dataset of Block-3 for details
119403
0
See respective variables in dataset of Block-3 for details
1
Region-1
44745
2
Region-2
31914
3
Region-3
20033
4
Region-4
15663
5
Region-5
4605
6
Region-6
1371
7
Region-7
1072
Stratum_No
See respective variables in dataset of Block-3 for details
See respective variables in dataset of Block-3 for details
119403
0
See respective variables in dataset of Block-3 for details
Sub_stratum
See respective variables in dataset of Block-3 for details
See respective variables in dataset of Block-3 for details
119403
0
See respective variables in dataset of Block-3 for details
Village/Block Sr. No.(FSU)
See respective variables in dataset of Block-3 for details
See respective variables in dataset of Block-3 for details
119403
0
See respective variables in dataset of Block-3 for details
Hamlet Group/Sub-block No.
See respective variables in dataset of Block-3 for details
See respective variables in dataset of Block-3 for details
119403
0
See respective variables in dataset of Block-3 for details
Second-stage stratum No.
See respective variables in dataset of Block-3 for details
See respective variables in dataset of Block-3 for details
119403
0
See respective variables in dataset of Block-3 for details
Flot
See respective variables in dataset of Block-3 for details
See respective variables in dataset of Block-3 for details
119403
0
See respective variables in dataset of Block-3 for details
Sample Household No.
See respective variables in dataset of Block-3 for details
See respective variables in dataset of Block-3 for details
119403
0
See respective variables in dataset of Block-3 for details
Bldg location area type (code)
Area type in which building is located
119403
0
1
119
2
1318
3
7862
4
3124
5
106952
9
Invalid
28
Plinth area building (code)
Check if Q.1 code is other than 1. If yes ASK
plinth area of the building
`plinth` refers to the construction extending from the top of the foundation to the ground floor level of the building i. e. foundation B base of a building. Plinth area is the total constructed area of the surface on the ground over which the structure is erected. The plinth area of the building will be recorded against this item in terms of codes
119403
0
00
NA
307
01
Less than 10 sq. mt.
5539
02
18897
03
20955
04
18446
05
14161
06
18174
07
9359
08
6905
09
2802
10
3825
99
Invalid
33
Plinth level (code)
Check if Q.1 code is other than 1. If yes ASK
Plinth level
If Q.1 code is 1 then skip
119403
0
0
NA
337
1
29735
2
less than 0.5 mt
68101
3
17466
4
3733
9
Invalid
31
Type of building (code)
Check if Q.1 code is other than 1. If yes ASK
Type of building
If Q.1 code is 1 then skip
119403
0
0
NA
207
1
109575
2
1668
3
557
4
3139
5
Any combination of codes 2,3 and 4
610
8
Invalid
2
9
3645
Type of structure (code)
Check if Q.1 code is other than 1. If yes ASK
Type of structure (code)
If Q.1 code is 1 then skip
119403
0
0
NA
176
1
56174
2
34516
3
25367
4
Serviceable unserviceable katcha
3151
9
Invalid
19
Period since built (code)
Check if Q.1 code is other than 1. If yes ASK
Period since built (code)
If Q.1 code is 1 then skip
Period since built` will be counted from the time of the first occupation after completion of the building and this information will be entered in terms of codes. Period since built is in respect of the ground floor of the building when the different storeys were built at different times.
119403
0
0
NA
250
1
1772
2
9742
3
29288
4
32502
5
28303
6
10109
7
4105
8
3329
9
Invalid
3
Condition of structure (code)
Check if Q.1 code is other than 1. If yes ASK
Condition of structure (code)
If Q.1 code is 1 then skip
119403
0
0
NA
159
1
43227
2
Satisfactory
60111
3
15872
9
Invalid
34
Drainage arrangement (code)
Check if Q.1 code is other than 1. If yes ASK
Drainage arrangement (code)
If Q.1 code is 1 then skip
By drainage / arrangement is meant built up channels for carrying waste water away from the premises of the building to a drainage system, a water flow or a water deposit. Information on the drainage arrangement available to the building will be recorded against this item in codes.
119403
0
0
NA
235
1
62620
2
23983
3
19941
4
Covered pucca
6579
5
6038
9
Invalid
7
Garbage disposal (Code)
Check if Q.1 code is other than 1. If yes ASK
Garbage disposal ( urban )
If Q.1 code is 1 then skip
119403
0
0
NA
68320
1
16918
2
9287
3
By panchayat/municipality/corporation
23023
4
19
9
Invalid
1836
Animal shed (code)
Check if Q.1 code is other than 1. If yes ASK
Animal shed (code)
If Q.1 code is 1 then skip
Information as to whether there is any animal shed in the building or its neighbour hood or not will be recorded against this item in codes.If there is no animal shed within 100 feet of the building ( even on the adjacent plots ) code 1 will be recorded. If there is an animal shed in the building or attached to the building code 2 will be recorded. If there is an animal shed within 100 feet of the building but not within / attached to it, code 3 will be recorded. The animals and the shed need not be owned or possessed by any household in the building. Animal shed, for the purpose of this survey, is a structure where livestock ( cattle, buffalo, horse, goat, pig etc. but not poultry and pets ) are sheltered.
119403
0
0
NA
262
1
72670
2
20466
3
Detached from the building
26001
9
Invalid
4
Flood risk (code)
Check if Q.1 code is other than 1. If yes ASK
Flood risk
If Q.1 code is 1 then skip
If rain water during monsoon and / or water from sea, river etc. enters into the building premises i. e. into the ground froor of the building in normal years, the there is a flood risk for the building. To be so classified, water must have entered the grtound floor of the building at least once during the last 5 years. Information about flood risk will be recorded in cods.
119403
0
0
NA
191
1
101867
2
Excessive rain
10849
3
River, sea etc
6472
9
Invalid
24
Approach road (code)
Check if Q.1 code is other than 1. If yes ASK
Approach road (code)
If Q.1 code is 1 then skip
119403
0
0
NA
132
1
50872
2
24186
3
7434
4
15729
5
21046
9
Invalid
4
Distance from primary school(code)
Check if Q.1 code is other than 1. If yes ASK
Distance from primary school(code)
If Q.1 code is 1 then skip
The distance of the building from the nearest school having primary classes will be recorded in codes
119403
0
0
NA
145
1
Less than 0.5 km.
79908
2
24864
3
10739
4
3115
5
629
9
Invalid
3
Distance from hospital(code)
Check if Q.1 code is other than 1. If yes ASK
Distance from hospital(code)
If Q.1 code is 1 then skip
The distance of thebuilding from the nearest hospital / health centre will be recorded in terms of codes.
119403
0
0
NA
132
1
Less than 0.5 km.
33619
2
18254
3
17617
4
23936
5
19085
6
6754
9
Invalid
6
Distance from post office (code)
Check if Q.1 code is other than 1. If yes ASK
Distance from post office (code)
If Q.1 code is 1 then skip
The distance of the building from the nearest post office will be recorded in codes
119403
0
0
NA
131
1
Less than 0.5 km.
45781
2
25171
3
20959
4
19661
5
7683
9
Invalid
17
Building complete?
Check if Q.1 code is other than 1. If yes ASK
Whether the building is complete in respect of basic be amenities
If Q.1 code is 1 then skip
This information is to be ascertained from the sample household / residing in that building and will be recorded in codes, which are : yes - 1, no - 2.
119403
0
0
NA
161
1
Yes
48485
2
No
70728
9
Invalid
29
Fractile(MPCE)-State
119403
0
01
21107
02
13221
03
12017
04
10622
05
10893
06
10780
07
10410
08
10267
09
10139
10
5496
11
4451
Generated variables
Fractile(MPCE)-All India
119403
0
01
21719
02
14637
03
12159
04
11298
05
10910
06
10380
07
10130
08
9685
09
9387
10
4670
11
4428
Generated variables
Fractile(Area)-State
119403
0
01
38087
02
17148
03
14652
04
12698
05
10008
06
8202
07
7273
08
5668
09
4028
10
1103
11
536
Generated variables
Fractile(Area)-All India
119403
0
01
39872
02
17475
03
14253
04
11863
05
9676
06
7910
07
6749
08
5522
09
3831
10
1309
11
943
Generated variables
Monthly per capita expenditure(0.00)
119403
0
0
20000
300.739
230.287
Generated variables
Multiplier-Subsample(0.00)
119403
0
0.85
237996.2
2602.826
4067.251
Multiplier-Combined(0.00)
119403
0
0.42
118998.1
1305.388
2043.913
Key to identify hhold
119403
0
Generated KEY variable
Round-Schedule
See respective variables in dataset of Block-3 for details.
119403
0
493
119403
Record Identifier
See respective variables in dataset of Block-3 for details.
119403
0
04
119403
Sample
See respective variables in dataset of Block-3 for details.
119403
0
1
Central sample
119403
2
State sample
0
Sub-Round
See respective variables in dataset of Block-3 for details.
119403
0
1
Sub-round-1
60983
2
Sub-round-2
58420
Sub_sample
See respective variables in dataset of Block-3 for details.
119403
0
1
Sub-sample-1
59671
2
Sub-sample-2
59732
Sector
See respective variables in dataset of Block-3 for details.
119403
0
1
Rural
75036
2
Urban
44367
State-Region(ZSR)
See respective variables in dataset of Block-3 for details.
119403
0
02
Andhra Pradesh
8839
03
Arunachal Pradesh
1546
04
Assam
4416
05
Bihar
8838
06
Goa
414
07
Gujarat
4845
08
Haryana
1772
09
Himachal Pradesh
2407
10
Jammu & Kashmir
1439
11
Karnataka
5402
12
Kerala
4303
13
Madhya Pradesh
8831
14
Maharashtra
10196
15
Manipur
1759
16
Meghalaya
1584
17
Mizoram
1435
18
Nagaland
846
19
Orissa
4192
20
Punjab
3745
21
Rajasthan
5122
22
Sikkim
640
23
Tamil Nadu
8436
24
Tripura
2128
25
Uttar Pradesh
14128
26
West Bengal
8165
27
A & N Islands
1085
28
Chandigarh
369
29
Dadra & Nagar Haveli
384
30
Daman & Diu
320
31
Delhi
1049
32
Lakshdweep
272
33
Pondicherry
496
Region
See respective variables in dataset of Block-3 for details.
119403
0
1
Region-1
44745
2
Region-2
31914
3
Region-3
20033
4
Region-4
15663
5
Region-5
4605
6
Region-6
1371
7
Region-7
1072
Stratum_No
See respective variables in dataset of Block-3 for details.
119403
0
Sub_stratum
See respective variables in dataset of Block-3 for details.
119403
0
Village/Block Sr. No.(FSU)
See respective variables in dataset of Block-3 for details.
119403
0
Hamlet Group/Sub-block No.
See respective variables in dataset of Block-3 for details.
119403
0
Second-stage stratum No.
See respective variables in dataset of Block-3 for details.
119403
0
Flot
See respective variables in dataset of Block-3 for details.
119403
0
Sample Household No.
See respective variables in dataset of Block-3 for details.
119403
0
Dwelling Ownership
Ownership of the dwelling
Information in respect of the possession type of the dwelling unit will be recorded against this item in codes. Households living more or less regularly , under bridge , in pipe , under staircase , in purely temporary flimsy improvisations built by the road side ( which is liable to be removed any moment ) etc. are considered to have no dwellings and for such households code 1 will be recorded against this item. If the dwelling unit is owned by the sample household or it has owner - like possession of the dwelling , code - 2 will be recorded. If the accommodation is provided by the employer of a member of the sample household , it will be treated as quarters and code 3 will be given. If the dwelling is taken on rent payable at monthly , quarterly or any other periodic intervals or / on lease , it will be treated as a hired dwelling and code 4 will be recorded. code 9 will be entered in all other types of possession .
119403
0
1
393
2
93048
3
4850
4
Other hired accommodation
16460
8
Invalid
62
9
Others
4590
Monthly rent
Ask this Question if code is 3 or 4 Q.1
If hired monthly rent(Rs)
Skip otherwise
This item will be filled in for all dwellings with code 3 ro 4 against this item. For other households , a `x` may be put against this item. The actual amount ( in whole number of rupees ) payable per month by the household will be recorded against this item. If the household is residing in quarters , ( i. e. for those with code 3 against item 1 ) , the amount deducted from the salary of the household member for whom the quarter is allotted on account of rent for the dwelling unit plus the house rent allowance the person might have received if he / she had not been provided the accommodation will be the rent of the dwelling unit. Rent does not include any salami / pugree or any kind of cess payable to local bodies or government or monthly maintenance charges payable to the co-operative society etc.
119403
0
0
8000
37.176
145.071
If code-4 in item 1, Residential status of the landlord
119403
0
0
NA
104148
1
6072
2
Staying in :same village / town
7698
3
747
4
Other district of the same state
417
5
252
6
67
9
2
If not hired,imputed monthly rent(Rs)
119403
0
0
30000
190.216
445.033
Type of dwellling (code)
Type of dwellling (code)
119403
0
1
Independent House
96170
2
Flat
6838
3
Chawl
6683
8
Invalid
825
9
Others
8887
Ventillation arrangement(code)
Ventillation arrangement(code)
Information as to whether , in general , ventilation of the dwelling unit is good , tolerable or bad will be collected and entered against this item in terms of codes.
119403
0
0
NA
815
1
38426
2
Tolerable
56750
3
23395
9
Invalid
17
No. of living rooms
119403
0
0
72
1.96
1.352
No. of other rooms
119403
0
0
99
0.985
1.938
Area of living rooms
119403
0
0
5018
26.718
26.2
Area of other rooms
Same zs in Q.10
119403
0
0
360
8.452
12.067
Area of covered verandah
The floor space of the covered verandah and that of uncovered verandah are to be recorded agains items 11 and 12 respectively in square metres. C overed and uncovered verandahs are defined in para 4.0.3 (f). ( 1 sq. ft. = 0.0292 sq.mt. )
119403
0
0
300
3.628
7.587
Area of uncovered verandah
same as in Q.11
119403
0
0
800
3.827
8.152
Separate room for couple
119403
0
1
73412
2
22662
3
Not applicable
23329
Total no. of couples
Total number of married couples in the sample household will be recorded against item 14. For code 3 again item 13 , cross mark `x` will be put against items 14 & 15.
119403
0
0
66
1.049
0.939
Couples with no separate room
If code 2 is recorded against item 13 , the number of married couples not getting a separate room will be recorded against item 15. for code 1 against item 13 , the entry against item 15 will be zero.
119403
0
119403
0
0
NA
683
1
65471
2
44989
3
8250
9
Invalid
10
Floor type (code)
119403
0
0
NA
424
1
64920
2
1949
3
3069
4
Brick , limestone , stone
10580
5
32850
6
5142
8
Invalid
9
9
460
119403
0
0
NA
435
1
Grass, straw, leaves, reods, bomboo , etc,
14647
2
Mud ( with/without bamboo) , unburnt brick
37092
3
115
4
2228
5
1967
6
52221
7
602
8
8471
9
1625
119403
0
00
NA
439
01
Grass , straw , leaves , reeds , bamboo , etc.
25759
02
Mud , unburnt brick
3804
03
canvas , cloth .
214
04
Other katcha .
1941
05
Tiles , slate
34171
06
Burnt brick , stone , limestone
12496
07
Iron , zinc or other metal sheet
12899
08
Asbestos sheet
3719
09
cement , RBC , RCC
21295
10
Other pucca
2655
99
Invalid
11
Fractile(MPCE)-State
119403
0
01
21107
02
13221
03
12017
04
10622
05
10893
06
10780
07
10410
08
10267
09
10139
10
5496
11
4451
Generated variables
Fractile(MPCE)-All India
119403
0
01
21719
02
14637
03
12159
04
11298
05
10910
06
10380
07
10130
08
9685
09
9387
10
4670
11
4428
Generated variables
Fractile(Area)-State
119403
0
01
38087
02
17148
03
14652
04
12698
05
10008
06
8202
07
7273
08
5668
09
4028
10
1103
11
536
Generated variables
Fractile(Area)-All India
119403
0
01
39872
02
17475
03
14253
04
11863
05
9676
06
7910
07
6749
08
5522
09
3831
10
1309
11
943
Generated variables
Monthly per capita expenditure(0.00)
119403
0
0
20000
300.739
230.287
Generated variables
Multiplier-Subsample
119403
0
0.85
237996.2
2602.826
4067.251
Multiplier-Combined
119403
0
0.42
118998.1
1305.388
2043.913
Key to identify hhold
119397
0
Round-Schedule
119397
0
493
119397
Record Identifier
119397
0
05
119397
Sample
119397
0
1
119397
Sub-Round
119397
0
1
60977
2
58420
Sub-sample
119397
0
1
59668
2
59729
Sector
119397
0
1
75030
2
44367
State
119397
0
02
8839
03
1546
04
4416
05
8837
06
415
07
4844
08
1772
09
2407
10
1439
11
5401
12
4303
13
8829
14
10194
15
1758
16
1584
17
1435
18
846
19
4193
20
3744
21
5123
22
640
23
8436
24
2128
25
14128
26
8165
27
1085
28
369
29
384
30
320
31
1049
32
272
33
496
Region
119397
0
1
44744
2
31914
3
20032
4
15661
5
4603
6
1371
7
1072
Stratum No.
119397
0
01
21399
02
16702
03
12515
04
11465
05
2591
06
2491
07
2209
08
2204
09
2404
10
2337
11
2265
12
2381
13
1934
14
1758
15
1918
16
1759
17
1661
18
1455
19
1341
20
1552
21
1230
22
1278
23
1200
24
879
25
1197
26
1070
27
1177
28
1083
29
718
30
976
31
736
32
960
33
879
34
815
35
608
36
399
37
281
38
302
39
346
40
382
41
432
42
496
43
383
44
383
45
368
46
320
47
384
48
128
49
255
50
317
51
192
52
256
53
320
54
255
55
384
56
251
57
304
58
256
59
256
60
113
61
128
62
64
63
64
64
192
65
128
66
128
67
128
68
192
69
121
70
64
71
127
72
128
73
128
74
127
75
128
76
64
77
128
78
128
79
64
80
64
81
64
82
128
Sub-stratum
119397
0
0
75030
1
6730
2
37637
Village/Block Sr. No.(FSU)
119397
0
Hamlet Group/Sub-block No.
119397
0
0
91323
1
28074
Second-stage stratum No.
119397
0
1
52497
2
66900
Flot no
119397
0
Sample Household No.
119397
0
01
20379
02
19609
03
18953
04
14279
05
13352
06
8666
07
6041
08
5218
09
3798
10
3520
11
1370
12
1181
13
1026
14
857
15
679
16
469
Source of drinking water
The information in respect of the household`s source of drinking water will be collected and entered against this item in codes.
119397
0
0
NR
16
1
47608
2
38144
3
26068
4
Tank , pond ( reserved for drinking )
1500
5
934
6
1561
7
2689
9
877
Whether availablity of drinking water is sufficient ?
For collection this information , the investigator will have to depend on judgement of the informant . The collected information is to be recorded in codes. The codes are : yes - 1 , no - 1.
119397
0
0
NR
25
1
Yes
100290
2
No
19068
9
Invalid
14
Facility of drinking water
Information as to whether the household`s source of drinking water is for its exclusive use or is shared with other households will be indicated in code .
119397
0
0
77
1
35167
2
common use of households in the building
13719
3
70423
9
Invalid
11
Distance to the source of drinking water
The distance to the source of drinking water from the dwelling unit will be ascertained and recorded in codes.
119397
0
0
NR
95
1
Within dwelling 1
32498
2
Outside dwelling but within the premises
23997
3
52252
4
7515
5
2068
6
582
7
388
9
Invalid
2
Bathrooms (code)
119397
0
0
35
1
No bathroom
83130
10
NR
0
0
2
19106
3
17119
9
Invalid
7
Bathing place Distance(code)
Distance from bathing place
The distance of the bathing place from the dwelling unit will be ascertained and entered against this item in codes.
119397
0
0
NR
4076
1
83622
2
21653
3
8018
4
1696
5
322
9
Invalid
10
Latrine type
119397
0
0
NR
251
1
70662
2
service latrine
6286
3
18602
4
12084
8
Invalid
5
9
11507
Latrine facility
Facility of latrine
Information about latrine facility availed of by the household will be ascedrtkained and entered against this item in codes in the same manner in which item 3 ( facility of drinking water ) is entered. This item is not relevant for households having no latrine, i. e. , for housholds having code 1 against item 7. Hence, `x` mark may be put against this item for such households.
119397
0
0
NA
67487
1
33262
2
common use of households in the building
12069
3
6507
9
Invalid
72
No. of latrines
This item will be filled-in if the entry against item 8 is 2. Number of latrines which are available to the households for their use will be recorded against this item.
119397
0
0
81
0.2
1.17
Hholds using latrines
Number of households using the latrine (s)
This item is to be filled-in only for these households for which code 2 is entered against item 8. Number of households who normally use the latrine used by the sample household will be recorded here. This number will include the sample household also.
119397
0
0
99
0.72
4.249
Latrine distance(code)
Distance from the latrine used
The distance of the latrine used from the dwelling unit in which the sample household lives will be ascertained and the appropriate distance is to be recorded in codes.
119397
0
0
NA
28000
1
Within the premises
40915
2
27027
3
18750
4
4170
5
436
9
Invalid
99
Cooking fuel (code)
119397
0
0
NR
133
1
2132
2
8467
3
72203
4
4089
5
12069
6
322
7
LPG or piped gas
13735
8
330
9
Others
5917
Lighting (code)
Information on type of lighting used by the household will be recorded in codes.There may be households which do not burn even oil lamp or firewood to light their dwellings owing to their very poor economic condition. Such households will get code 1. Households using kerosene for lighting their dwellings will get code 2, those using electricity will get code 3 and others, code 9. If a household uses two or more of these lighting means, the code appropriate to the one used for longer duration will be entered.
119397
0
0
NR
51
1
No lighting
2244
2
49331
3
Electricity
67133
8
Invalid
32
9
606
Electrified ?
Whether electrified
119397
0
0
NR
147
1
Yes
68388
2
No
50856
9
Invalid
6
Type of electric wiring done in the dwelling unit will be indicated in codes.If the concelling unit is not electrified, put a `x` against item 15. Conduit wiring is conde3aled wiring which is done by taking the electric wires through tubes which are laid inside the plastering of walls. Code 1 will be entered if the electric wiring in the house is mainly of this type. If the wiring is fixed properly to the walls, code 2 will be recorded. If the wiring is just like a temporary arrangement of wires hanging partly free from the walls, code 3 will be recorded. If the dwelling unit is not electrified, put a `x` against item 15.
119397
0
0
NA
51087
1
11118
2
fixed to the walls
45081
3
12108
9
Invalid
3
Bicycle?
Certain asset articles are listed in Q.16 - 25. It will be ascertained whether the household is possessing any of these listed assets.If the household has the asset, code-1 will be recorded; otherwise code-2 will be entered.
119397
0
0
NR
181
1
Yes
49322
2
No
69871
9
Invalid
23
Scooter?
Certain asset articles are listed in Q.16 - 25. It will be ascertained whether the household is possessing any of these listed assets.If the household has the asset, code-1 will be recorded; otherwise code-2 will be entered.
119397
0
0
NR
63
1
Yes
9789
2
No
109484
9
Invalid
61
Radio?
Certain asset articles are listed in Q.16 - 25. It will be ascertained whether the household is possessing any of these listed assets.If the household has the asset, code-1 will be recorded; otherwise code-2 will be entered.
119397
0
0
NR
65
1
Yes
49478
2
No
69628
9
Invalid
226
T. V.?
Certain asset articles are listed in Q.16 - 25. It will be ascertained whether the household is possessing any of these listed assets.If the household has the asset, code-1 will be recorded; otherwise code-2 will be entered.
119397
0
0
NR
46
1
Yes
8035
2
No
25414
9
Invalid
85902
Fans?
Certain asset articles are listed in Q.16 - 25. It will be ascertained whether the household is possessing any of these listed assets.If the household has the asset, code-1 will be recorded; otherwise code-2 will be entered.
119397
0
0
NR
51
1
Yes
39762
2
No
79436
9
Invalid
148
Refrigerator?
Certain asset articles are listed in Q.16 - 25. It will be ascertained whether the household is possessing any of these listed assets.If the household has the asset, code-1 will be recorded; otherwise code-2 will be entered.
119397
0
0
NR
46
1
Yes
7742
2
No
111598
9
Invalid
11
Air-cooler?
Certain asset articles are listed in Q.16 - 25. It will be ascertained whether the household is possessing any of these listed assets.If the household has the asset, code-1 will be recorded; otherwise code-2 will be entered.
119397
0
0
NR
47
1
Yes
3697
2
No
115646
9
Invalid
7
Air-conditioner?
Certain asset articles are listed in Q.16 - 25. It will be ascertained whether the household is possessing any of these listed assets.If the household has the asset, code-1 will be recorded; otherwise code-2 will be entered.
119397
0
0
NR
48
1
Yes
238
2
No
119105
9
Invalid
6
Geyser?
Certain asset articles are listed in Q.16 - 25. It will be ascertained whether the household is possessing any of these listed assets.If the household has the asset, code-1 will be recorded; otherwise code-2 will be entered.
119397
0
0
NR
46
1
Yes
1555
2
No
117790
9
Invalid
6
Room heater?
Certain asset articles are listed in Q.16 - 25. It will be ascertained whether the household is possessing any of these listed assets.If the household has the asset, code-1 will be recorded; otherwise code-2 will be entered.
119397
0
0
NR
68
1
Yes
1623
2
No
117699
9
Invalid
7
whether undertook any building construction during the last 5 years (yes - 1, no - 2)
If the sample household has undertaken any work of building construction for residential purposes during the last 5 years, code 1 will be recorded against item1, otherwise, code 2 will be recorded. Apart from construction of new building, work relating to addition of floor space, alteration, improvement or major repair of the existing building will also be considered construction for collecting the relevant information.
119397
0
1
Yes
17145
2
No
102252
Fractile(MPCE)-State
119397
0
01
21108
02
13221
03
12015
04
10621
05
10889
06
10779
07
10410
08
10267
09
10139
10
5496
11
4452
Fractile(MPCE)-All India
119397
0
01
21720
02
14636
03
12157
04
11297
05
10906
06
10379
07
10130
08
9685
09
9388
10
4670
11
4429
Fractile(Area)-State
119397
0
01
38089
02
17148
03
14650
04
12697
05
10008
06
8200
07
7272
08
5667
09
4027
10
1103
11
536
Fractile(Area)- All India
119397
0
01
39874
02
17475
03
14252
04
11861
05
9676
06
7907
07
6748
08
5521
09
3831
10
1309
11
943
119397
0
0
20000
300.744
230.292
Multiplier Subsample(0.00)
119397
0
0.85
237996.2
2602.583
4067.084
Multiplier Combined(0.00)
119397
0
0.42
118998.1
1305.267
2043.831
Key to identify hhold
17651
0
Generated KEY variables
Key to identify construction slno
17651
0
Generated KEY variables
Round-Schedule
17651
0
493
17651
Record identifier.
17651
0
06
17651
Sample
See respective variables in dataset of Block-3
17651
0
See respective variables in dataset of Block-3
1
Central sample
17651
2
State sample
0
Sub-Round
See respective variables in dataset of Block-3
17651
0
See respective variables in dataset of Block-3
1
Sub-round-1
9719
2
Sub-round-2
7932
Sub_sample
See respective variables in dataset of Block-3
17651
0
See respective variables in dataset of Block-3
1
Sub-sample-1
8957
2
Sub-sample-2
8694
Sector
See respective variables in dataset of Block-3
17651
0
See respective variables in dataset of Block-3
1
Rural
13220
2
Urban
4431
State
See respective variables in dataset of Block-3
17651
0
See respective variables in dataset of Block-3
02
Andhra Pradesh
2222
03
Arunachal Pradesh
224
04
Assam
1008
05
Bihar
668
06
Goa
15
07
Gujarat
649
08
Haryana
379
09
Himachal Pradesh
371
10
Jammu & Kashmir
289
11
Karnataka
564
12
Kerala
964
13
Madhya Pradesh
944
14
Maharashtra
987
15
Manipur
42
16
Meghalaya
158
17
Mizoram
171
18
Nagaland
9
19
Orissa
326
20
Punjab
421
21
Rajasthan
610
22
Sikkim
12
23
Tamil Nadu
1313
24
Tripura
328
25
Uttar Pradesh
2790
26
West Bengal
1585
27
A & N Islands
344
28
Chandigarh
43
29
Dadra & Nagar Haveli
15
30
Daman & Diu
17
31
Delhi
98
32
Lakshdweep
29
33
Pondicherry
56
Region
See respective variables in dataset of Block-3
17651
0
See respective variables in dataset of Block-3
1
Region-1
6553
2
Region-2
5457
3
Region-3
2570
4
Region-4
2260
5
Region-5
517
6
Region-6
91
7
Region-7
203
Stratum_No.
See respective variables in dataset of Block-3
17651
0
See respective variables in dataset of Block-3
Sub_stratum
See respective variables in dataset of Block-3
17651
0
See respective variables in dataset of Block-3
Village/Block Sr. No.(FSU)
See respective variables in dataset of Block-3
17651
0
See respective variables in dataset of Block-3
Hamlet Group/Sub-block No.
See respective variables in dataset of Block-3
17651
0
See respective variables in dataset of Block-3
Second-stage stratum No.
See respective variables in dataset of Block-3
17651
0
See respective variables in dataset of Block-3
Flot
See respective variables in dataset of Block-3
17651
0
See respective variables in dataset of Block-3
Sample Household No.
See respective variables in dataset of Block-3
17651
0
See respective variables in dataset of Block-3
Srl No. of construction
Srl No. of construction
Serial numbers of construction 1 - 5 are already printed.if there was only one construction, column with serial number 1 is to be used. First two columns are to be used when there are 2 constructions and so on.
17651
0
Type of construction (code)
Type of construction (code)
17651
0
0
NR
157
1
7254
2
2034
3
Alteration/improvement/major repairs
8201
9
Invalid
5
Month/year of completion
Month/year of completion
For the fuilding construction completed during the last 5 years, the date of completion will be recorded against this item in a 4-digit formation of which the leftmost 2 digits will indicate the month of the year and the rightmost 2 digits the year of completion. Thus, if the construction was completed in august 1992, the appropriate entry will be `0892`.
17651
0
Type of structure (code)
Type of structure (code)
17651
0
0
NA
2512
1
6362
2
3060
3
5710
9
Invalid
7
Floor area(sq,mt)
Floor area(sq,mt)
17651
0
0
1800
21.715
41.767
No. of dwelling units
Floor area(sq,mt)
The number of dwelling units occupying or expected to occupy the new building or the additional dwelling units occupying or expected to occupy the additional floor space constructed will be recorded against item7, in the relevant columns.
17651
0
0
800
1.072
9.2
Cost of construction(Rs.)
17651
0
0
15500000
20924.751
126978.42
Fractile(MPCE)-State
17651
0
01
2004
02
1888
03
1839
04
1675
05
1697
06
1679
07
1620
08
1649
09
1671
10
1029
11
900
Generated variable
Fractile(MPCE)-All India
17651
0
01
2226
02
1926
03
1826
04
1710
05
1684
06
1672
07
1611
08
1578
09
1663
10
896
11
859
Generated variable
Fractile(Area)-State
17651
0
01
5852
02
2682
03
2201
04
1821
05
1439
06
1199
07
1043
08
743
09
537
10
99
11
35
Generated variable
Fractile(Area)-All India
17651
0
01
6023
02
2782
03
2081
04
1708
05
1413
06
1148
07
979
08
792
09
482
10
147
11
96
Generated variable
Monthly per capita expenditure(0.00)
17651
0
0
5000
274.249
182.701
Generated variable
Multiplier-Subsample
17651
0
1.59
237996.2
2804.914
4407.25
Generated weight variable
Multiplier-Combined
17651
0
0.79
118998.1
1409.031
2229.219
Generated weight variable
Key to identify hhold
17553
0
Generated KEY variables
Key to identify Construction slno
17553
0
Generated KEY variables
Round-Schedule
See respective variables in Data set of Block-3 for details.
17553
0
See respective variables in Data set of Block-3 for details.
493
17553
Record identifier
See respective variables in Data set of Block-3 for details.
17553
0
See respective variables in Data set of Block-3 for details.
07
17553
Sample
See respective variables in Data set of Block-3 for details.
17553
0
See respective variables in Data set of Block-3 for details.
1
Central sample
17553
2
State sample
0
Sub-Round
See respective variables in Data set of Block-3 for details.
17553
0
See respective variables in Data set of Block-3 for details.
1
Sub-round-1
9676
2
Sub-round-2
7877
Sub_sample
See respective variables in Data set of Block-3 for details.
17553
0
See respective variables in Data set of Block-3 for details.
1
Sub-sample-1
8872
2
Sub-sample-2
8681
Sector
See respective variables in Data set of Block-3 for details.
17553
0
See respective variables in Data set of Block-3 for details.
1
Rural
13147
2
Urban
4406
State
See respective variables in Data set of Block-3 for details.
17553
0
See respective variables in Data set of Block-3 for details.
02
Andhra Pradesh
2203
03
Arunachal Pradesh
222
04
Assam
1006
05
Bihar
683
06
Goa
14
07
Gujarat
633
08
Haryana
377
09
Himachal Pradesh
371
10
Jammu & Kashmir
288
11
Karnataka
554
12
Kerala
964
13
Madhya Pradesh
951
14
Maharashtra
980
15
Manipur
43
16
Meghalaya
147
17
Mizoram
165
18
Nagaland
9
19
Orissa
317
20
Punjab
421
21
Rajasthan
605
22
Sikkim
12
23
Tamil Nadu
1305
24
Tripura
332
25
Uttar Pradesh
2774
26
West Bengal
1575
27
A & N Islands
344
28
Chandigarh
44
29
Dadra & Nagar Haveli
17
30
Daman & Diu
16
31
Delhi
97
32
Lakshdweep
28
33
Pondicherry
56
Region
See respective variables in Data set of Block-3 for details.
17553
0
See respective variables in Data set of Block-3 for details.
1
Region-1
6519
2
Region-2
5449
3
Region-3
2545
4
Region-4
2233
5
Region-5
512
6
Region-6
92
7
Region-7
203
Stratum_No.
See respective variables in Data set of Block-3 for details.
17553
0
See respective variables in Data set of Block-3 for details.
01
2812
02
1978
03
1251
04
1176
05
421
06
465
07
316
08
437
09
558
10
431
11
382
12
448
13
425
14
458
15
291
16
332
17
398
18
217
19
330
20
260
21
144
22
154
23
118
24
160
25
249
26
182
27
274
28
215
29
113
30
207
31
132
32
163
33
192
34
247
35
134
36
104
37
60
38
64
39
55
40
37
41
83
42
169
43
37
44
116
45
39
46
23
47
36
48
10
49
7
50
19
51
6
52
7
53
20
54
51
55
27
56
11
57
11
58
39
59
27
60
10
61
44
62
8
63
5
64
32
65
26
66
19
67
8
68
14
69
10
70
14
71
24
72
24
73
14
74
25
75
19
76
9
77
28
78
7
79
20
80
13
81
24
82
28
Sub_stratum
See respective variables in Data set of Block-3 for details.
17553
0
See respective variables in Data set of Block-3 for details.
0
13147
1
899
2
3507
Village/Block Sr. No.(FSU)
See respective variables in Data set of Block-3 for details.
17553
0
See respective variables in Data set of Block-3 for details.
Hamlet Group/Sub-block No.
See respective variables in Data set of Block-3 for details.
17553
0
See respective variables in Data set of Block-3 for details.
0
12915
1
4638
Second-stage Stratum No.
See respective variables in Data set of Block-3 for details.
17553
0
See respective variables in Data set of Block-3 for details.
1
8100
2
9453
Flot no
See respective variables in Data set of Block-3 for details.
17553
0
See respective variables in Data set of Block-3 for details.
Sample Household No.
See respective variables in Data set of Block-3 for details.
17553
0
See respective variables in Data set of Block-3 for details.
01
3315
02
3170
03
3039
04
2131
05
2015
06
1132
07
766
08
619
09
429
10
406
11
159
12
126
13
88
14
77
15
46
16
35
Srl. No. of construction
Srl. No. of construction
Serial numbers of construction 1 - 5 are already printed.if there was only one construction, column with serial number 1 is to be used. First two columns are to be used when there are 2 constructions and so on.
17553
0
001
16857
002
581
003
88
004
16
005
11
Own source (Rs)
Source of finance: Own source (Rs)
17553
0
0
60006000
18615.282
454493.111
Co-operative(Rs)
See Q.9a for details
17553
0
0
200000
392.539
4439.566
Govt financial inst(Rs)
See Q.9a for details
17553
0
0
1200006
1501.662
14613.364
Non-Govt. financial inst. (Rs)
See Q.9a for details
17553
0
0
239000
316.248
5656.788
Govt.Non-financial inst.(Rs)
See Q.9a for details
17553
0
0
200000
256.83
4161.89
Non-Govt.Non-financial inst.(Rs)
See Q.9a for details
17553
0
0
200000
107.791
2885.852
Money lenders (Rs)
See Q.9a for details
17553
0
0
450000
1157.688
6480.514
Friends & relatives(Rs)
See Q.9a for details
17553
0
0
200000
1673.022
8109.517
Other(Rs)
See Q.9a for details
17553
0
0
540000
792.251
8841.943
All(Rs)
See Q.9a for details
17553
0
0
60006000
24813.313
455498.813
Fractile(MPCE)-State
17553
0
01
1988
02
1869
03
1832
04
1673
05
1690
06
1665
07
1604
08
1644
09
1664
10
1020
11
904
Generated variables
Fractile(MPCE)-All India
17553
0
01
2203
02
1912
03
1816
04
1702
05
1675
06
1673
07
1594
08
1572
09
1656
10
893
11
857
Generated variables
Fractile(Area)-State
17553
0
01
5799
02
2676
03
2182
04
1813
05
1441
06
1198
07
1039
08
744
09
527
10
99
11
35
Generated variables
Fractile(Area)-All India
17553
0
01
5980
02
2761
03
2078
04
1698
05
1407
06
1145
07
976
08
793
09
476
10
144
11
95
Generated variables
Monthly per capita expenditure(0.00)
17553
0
0
5000
274.599
184.801
Generated variables
Multiplier-Subsample(0.00)
17553
0
1.59
237996.2
2804.242
4404.335
Generated Wight variable
Multiplier-Combined(0.00)
17553
0
0.79
118998.1
1408.415
2227.333
Generated Wight variable
Key to identify hhold
7484
0
Generated KEY variable
Key to locate construction slno
7484
0
Generated KEY variable
Round_Schedule
See respective variables in data set of Block-3 for details
7484
0
See respective variables in data set of Block-3 for details
493
7484
Record identifier
See respective variables in data set of Block-3 for details
7484
0
See respective variables in data set of Block-3 for details
08
7484
Sample
See respective variables in data set of Block-3 for details
7484
0
See respective variables in data set of Block-3 for details
1
Central sample
7484
2
State sample
0
Sub_Round
See respective variables in data set of Block-3 for details
7484
0
See respective variables in data set of Block-3 for details
1
Sub-round-1
4328
2
Sub-round-2
3156
Sub_sample
See respective variables in data set of Block-3 for details
7484
0
See respective variables in data set of Block-3 for details
1
Sub-sample-1
3733
2
Sub-sample-2
3751
Sector
See respective variables in data set of Block-3 for details
7484
0
See respective variables in data set of Block-3 for details
1
Sub-sample-1
5608
2
Sub-sample-2
1876
State
See respective variables in data set of Block-3 for details
7484
0
See respective variables in data set of Block-3 for details
02
Andhra Pradesh
681
03
Arunachal Pradesh
92
04
Assam
356
05
Bihar
305
06
Goa
8
07
Gujarat
303
08
Haryana
158
09
Himachal Pradesh
210
10
Jammu & Kashmir
151
11
Karnataka
222
12
Kerala
392
13
Madhya Pradesh
408
14
Maharashtra
391
15
Manipur
32
16
Meghalaya
73
17
Mizoram
102
18
Nagaland
1
19
Orissa
224
20
Punjab
119
21
Rajasthan
230
22
Sikkim
1
23
Tamil Nadu
487
24
Tripura
119
25
Uttar Pradesh
1489
26
West Bengal
665
27
A & N Islands
141
28
Chandigarh
13
29
Dadra & Nagar Haveli
17
30
Daman & Diu
7
31
Delhi
54
32
Lakshdweep
10
33
Pondicherry
23
Region
See respective variables in data set of Block-3 for details
7484
0
See respective variables in data set of Block-3 for details
1
Region-1
2703
2
Region-2
2147
3
Region-3
1241
4
Region-4
1051
5
Region-5
226
6
Region-6
36
7
Region-7
80
Stratum_No
See respective variables in data set of Block-3 for details
7484
0
See respective variables in data set of Block-3 for details
Sub_stratum
See respective variables in data set of Block-3 for details
7484
0
See respective variables in data set of Block-3 for details
FSU
See respective variables in data set of Block-3 for details
7484
0
See respective variables in data set of Block-3 for details
Sub_block_No
See respective variables in data set of Block-3 for details
7484
0
See respective variables in data set of Block-3 for details
Stage2stratum_No
See respective variables in data set of Block-3 for details
7484
0
See respective variables in data set of Block-3 for details
Flot no
See respective variables in data set of Block-3 for details
7484
0
See respective variables in data set of Block-3 for details
Hhold_No
See respective variables in data set of Block-3 for details
7484
0
See respective variables in data set of Block-3 for details
Serial numbers of construction 1 - 5 are already printed.if there was only one construction, column with serial number 1 is to be used. First two columns are to be used when there are 2 constructions and so on.
7484
0
001
7124
002
285
003
54
004
11
005
10
Material cost last year
Expenditure on construction incurred during last year will be recorded against this item with the break down ( a ) material, ( b ) labour and ( c ) other. The total expenditure will be recorded against. Expenditure relating to the material and labour purchased, hired or procured but not used in the construction will not be taken into account for filling in this item. It may be noted that, service charges i.e expenditure incurred ( including payments due ) on account of professional and personal services, municipal and other taxes and fees if any for construction, rental and hire charges of equipment used for construction will be included with others.
7484
0
0
350000
11804.507
26313.53
See Q.10a for details
7484
0
0
200000
3427.083
8782.562
Others cost last year
See Q.10a for details
7484
0
0
325000
883.743
7930.81
See Q.10a for details
7484
0
0
450000
16115.332
35404.504
Material cost -Bldg compltd
cost of construction of building completed during last year (Rs)-Material
This item will be filled in for all those building constructions which were completed during last year irrespective of whether the construction had begun during the 5 year reference period or prior to the beginning of the reference period. Total cost incurred for the completed building will be recorded with the bread down - (a) material, (b) labour and (c) others as defined above. Total will be given against (d).
7484
0
0
350000
9324.365
25510.72
cost of construction of building completed during last year (Rs)-Labour
See Q.11a for details
7484
0
0
180000
2736.198
8843.31
Others cost-Bldg compltd
cost of construction of building completed during last year (Rs)-Other
See Q.11a for details
7484
0
0
325000
840.774
7705.876
cost of construction of building completed during last year (Rs)-Total
See Q.11a for details
7484
0
0
500000
12901.336
35085.152
Fractile(MPCE)-State
7484
0
01
877
02
739
03
759
04
690
05
732
06
686
07
690
08
719
09
769
10
443
11
380
Generated variable
Fractile(MPCE)-All India
7484
0
01
967
02
820
03
740
04
712
05
673
06
711
07
687
08
698
09
731
10
384
11
361
Generated variable
Fractile(Area)-State
7484
0
01
2376
02
1086
03
934
04
814
05
649
06
526
07
449
08
342
09
247
10
48
11
13
Generated variable
Fractile(Area)-All India
7484
0
01
2502
02
1160
03
845
04
746
05
633
06
509
07
431
08
342
09
202
10
66
11
48
Generated variable
Monthly per capita expenditure(0.00)
7484
0
0
4000
272.298
184.726
Generated variable
Multiplier-subsample(0.00)
7484
0
1.59
59960.49
2732.787
3885.403
Generated Weight variable
Multiplier-combined(0.00)
7484
0
0.79
29980.24
1373.881
1971.309
Generated Weight variable
Key to identify hhold
119264
0
Generated KEY variable
Round-Schedule
See respective variables in data set of Block-3 for details
119264
0
See respective variables in data set of Block-3 for details
493
119264
Record Identifier
See respective variables in data set of Block-3 for details
119264
0
See respective variables in data set of Block-3 for details
09
119264
Sample
See respective variables in data set of Block-3 for details
119264
0
See respective variables in data set of Block-3 for details
1
Central sample
119264
2
State sample
0
Sub-Round
See respective variables in data set of Block-3 for details
119264
0
See respective variables in data set of Block-3 for details
1
Sub-round-1
60913
2
Sub-round-2
58351
3
Sub-round-3
0
4
Sub-round-4
0
Sub_sample
See respective variables in data set of Block-3 for details
119264
0
See respective variables in data set of Block-3 for details
1
Sub-sample-1
59604
2
Sub-sample-2
59660
Sector
See respective variables in data set of Block-3 for details
119264
0
See respective variables in data set of Block-3 for details
1
Rural
74935
2
Urban
44329
State
See respective variables in data set of Block-3 for details
119264
0
See respective variables in data set of Block-3 for details
02
Andhra Pradesh
8836
03
Arunachal Pradesh
1519
04
Assam
4408
05
Bihar
8810
06
Goa
414
07
Gujarat
4839
08
Haryana
1770
09
Himachal Pradesh
2407
10
Jammu & Kashmir
1439
11
Karnataka
5398
12
Kerala
4300
13
Madhya Pradesh
8828
14
Maharashtra
10191
15
Manipur
1738
16
Meghalaya
1583
17
Mizoram
1427
18
Nagaland
846
19
Orissa
4193
20
Punjab
3744
21
Rajasthan
5121
22
Sikkim
640
23
Tamil Nadu
8434
24
Tripura
2127
25
Uttar Pradesh
14119
26
West Bengal
8159
27
A & N Islands
1085
28
Chandigarh
369
29
Dadra & Nagar Haveli
384
30
Daman & Diu
320
31
Delhi
1048
32
Lakshdweep
272
33
Pondicherry
496
Region
See respective variables in data set of Block-3 for details
119264
0
See respective variables in data set of Block-3 for details
1
Region-1
44652
2
Region-2
31893
3
Region-3
20027
4
Region-4
15646
5
Region-5
4604
6
Region-6
1371
7
Region-7
1071
Stratum_No
See respective variables in data set of Block-3 for details
119264
0
See respective variables in data set of Block-3 for details
01
21366
02
16669
03
12511
04
11458
05
2589
06
2491
07
2207
08
2205
09
2399
10
2336
11
2264
12
2378
13
1932
14
1757
15
1917
16
1757
17
1661
18
1454
19
1341
20
1552
21
1228
22
1277
23
1200
24
877
25
1198
26
1070
27
1178
28
1081
29
718
30
976
31
736
32
960
33
880
34
815
35
608
36
399
37
281
38
302
39
346
40
382
41
432
42
495
43
383
44
382
45
368
46
320
47
384
48
128
49
255
50
317
51
192
52
256
53
318
54
255
55
379
56
250
57
284
58
256
59
255
60
113
61
128
62
64
63
64
64
191
65
128
66
128
67
128
68
192
69
121
70
64
71
126
72
128
73
128
74
128
75
128
76
64
77
128
78
128
79
64
80
64
81
64
82
128
Sub_stratum
See respective variables in data set of Block-3 for details
119264
0
See respective variables in data set of Block-3 for details
0
74935
1
6727
2
37602
Village/Block Sr. No.(FSU)
See respective variables in data set of Block-3 for details
119264
0
See respective variables in data set of Block-3 for details
Hamlet Group/Sub-block No.
See respective variables in data set of Block-3 for details
119264
0
See respective variables in data set of Block-3 for details
0
91217
1
28047
Second-stage stratum no.
See respective variables in data set of Block-3 for details
119264
0
See respective variables in data set of Block-3 for details
1
52449
2
66815
Flot
See respective variables in data set of Block-3 for details
119264
0
See respective variables in data set of Block-3 for details
Sample Household no.
See respective variables in data set of Block-3 for details
119264
0
See respective variables in data set of Block-3 for details
01
20365
02
19593
03
18926
04
14261
05
13338
06
8656
07
6029
08
5212
09
3796
10
3518
11
1369
12
1177
13
1024
14
856
15
676
16
468
Dwelling unit elsewhere
Does the household own any dwelling elsewhere?
It is to be ascertained as to whether or not the sample household owns any dwelling unit elsewhere i. e. place (s) other than the place of present stay and the information obtained will be recorded in codes against item 1.
119264
0
1
9250
2
Yes: other than the native place :same village/town
697
3
1123
4
801
5
107386
9
Invalid
7
Type of structure (code)
Type of structure
If the sample household owns any dwelling elsewhere ( i.c. for codes 1, 2, 3 and 4 against item 1 ), the dwelling elsewhere (i. c., Whether the structure is pucca, semi-pucca, katcha or katcha will be indicated against this item in terms of codes.
119264
0
0
NA
107439
1
5292
2
4082
3
2205
4
Serviceable unserviceable katcha
240
9
Invalid
6
Location (code)
Location ( if yes i. e., codes 1-4 in item 1)
119264
0
0
NA
107479
1
4497
2
1218
3
Rural area of another district of the same state
2533
4
Urban area of another district of the same state
869
5
2089
6
579
Present use (code)
Present use
The present use of the dwelling owned by the household elsewhere will be ascertained and recorded against this item in terms of the codes
119264
0
0
NA
107499
1
1429
2
7796
3
2527
9
Invalid
13
cultivable land elsewhere?
Does the household own any cultivable land elsewhere ?
It is to be ascertained whether the sample household owns any cultivable land elsewhere or not. The information obtained is entered against this item in codes
119264
0
0
NA
422
1
13596
2
4365
3
1587
4
950
5
98344
Plot for house constn?
Does the household own a plot for house construction ?
The information as to whether or not the sample household owns a plot for house construction will be ascertained and recorded in codes against item
119264
0
0
NR
805
1
5518
2
2383
3
788
4
350
5
109417
9
Invalid
3
Planning for house?
If the household on enquiry, reports that it plans to construct/acquire a house during the next two years, for such a household, code 1 will be recorded against this item; otherwise, code 2 will be recorded.
119264
0
0
NR
785
1
Yes
4008
2
No
114450
9
iNVALID
21
Source of finance (code)
If yes in item 7, source of finance
The source of finance for the planned construction/acquisition of the house, ( if the household has such a plan, i. e. for code 1 in item 7 ) will be recorded against this item in codes.
119264
0
0
NA
115274
1
Own savings
1438
2
Borrowings
921
3
1624
9
Invalid
7
Farm/non-farm business?
it is to be ascertained as to whether or not any member of the household participated in the activities relating to farm or non-farm business elsewhere i.e. , place(s) other than the place of stay and the information reported by the household will be recorded against this item. If the information is in the affirmative code 1; otherwise code 2 will be recorded. Activities relating to industry section `0` will be considered as belonging to `farm` and those relating to industry section 1 - 9 as belonging to `non-farm`.
119264
0
0
NR
503
1
Yes
4621
2
No
114115
9
Invalid
25
Period of stay elswehere(code)
If yes in item 9, period of stay elsewhere during the last year
This item will be filled-in for those households with code 1 against item 9. If more than one member of the household stayed elsewhere during the last 365 days in connection with farm/non-farm activities, the period of stay to be reported will relate to the member who stayed elsewhere for the longest period. The period of stay will be recorded in terms of codes.
119264
0
0
NA
114852
1
847
2
694
3
539
4
447
5
Six months and more
1879
9
Invalid
6
Fractile(MPCE)-State
119264
0
01
21069
02
13214
03
12008
04
10609
05
10879
06
10769
07
10406
08
10251
09
10130
10
5484
11
4445
Generated variable
Fractile(MPCE)-All India
119264
0
01
21688
02
14618
03
12149
04
11287
05
10897
06
10366
07
10120
08
9679
09
9376
10
4662
11
4422
Generated variable
Fractile(Area)-State
119264
0
01
38048
02
17120
03
14640
04
12685
05
9994
06
8193
07
7259
08
5664
09
4024
10
1101
11
535
13
1
Generated variable
Fractile(Area)-All India
119264
0
01
39823
02
17453
03
14238
04
11854
05
9666
06
7898
07
6738
08
5519
09
3824
10
1308
11
943
Generated variable
Monthly per capita expenditure(0.00)
119264
0
0
20000
300.739
229.925
Generated variable
Multiplier-Subsample(0.00)
119264
0
0.85
237996.2
2603.868
4068.613
Generated Weight variable
Multiplier-Combined(0.00)
119264
0
0.42
118998.1
1305.919
2044.609
Generated Weight variable
Key to identify hhold
699582
0
Generated KEY variable
Key to identify commodity
699582
0
Generated KEY variable
Round-Schedule
See respective variable in data set of Block-3 for details
699582
0
493
699582
See respective variable in data set of Block-3 for details
Record identifier
See respective variable in data set of Block-3 for details
699582
0
10
699582
See respective variable in data set of Block-3 for details
Sample
See respective variable in data set of Block-3 for details
699582
0
1
Central sample
699582
2
State sample
0
See respective variable in data set of Block-3 for details
Sub-Round
See respective variable in data set of Block-3 for details
699582
0
1
Sub-round-1
355367
2
Sub-round-2
344215
See respective variable in data set of Block-3 for details
Sub_sample
See respective variable in data set of Block-3 for details
699582
0
1
Sub-sample-1
348249
2
Sub-sample-2
351333
See respective variable in data set of Block-3 for details
Sector
See respective variable in data set of Block-3 for details
699582
0
1
Rural
438382
2
Urban
261200
See respective variable in data set of Block-3 for details
State
See respective variable in data set of Block-3 for details
699582
0
02
Andhra Pradesh
52950
03
Arunachal Pradesh
6622
04
Assam
26033
05
Bihar
52340
06
Goa
2451
07
Gujarat
28827
08
Haryana
10593
09
Himachal Pradesh
14414
10
Jammu & Kashmir
8619
11
Karnataka
32021
12
Kerala
25217
13
Madhya Pradesh
52294
14
Maharashtra
61081
15
Manipur
8870
16
Meghalaya
9472
17
Mizoram
8306
18
Nagaland
4871
19
Orissa
25035
20
Punjab
22422
21
Rajasthan
30663
22
Sikkim
3801
23
Tamil Nadu
50220
24
Tripura
12189
25
Uttar Pradesh
79448
26
West Bengal
47185
27
A & N Islands
6508
28
Chandigarh
2212
29
Dadra & Nagar Haveli
2303
30
Daman & Diu
1913
31
Delhi
6096
32
Lakshdweep
1631
33
Pondicherry
2975
See respective variable in data set of Block-3 for details
Region
See respective variable in data set of Block-3 for details
699582
0
1
Region-1
261772
2
Region-2
188722
3
Region-3
118422
4
Region-4
88480
5
Region-5
27582
6
Region-6
8180
7
Region-7
6424
See respective variable in data set of Block-3 for details
Stratum_No
See respective variable in data set of Block-3 for details
699582
0
01
125558
02
97484
03
73803
04
67403
05
15449
06
14490
07
12685
08
13118
09
13876
10
13796
11
13456
12
13950
13
11426
14
10268
15
11299
16
10506
17
9902
18
8717
19
7887
20
9112
21
7295
22
7608
23
7147
24
5265
25
7182
26
6423
27
7030
28
6485
29
4306
30
5844
31
4408
32
5759
33
5270
34
4882
35
3647
36
2379
37
1678
38
1807
39
2070
40
2270
41
2592
42
2860
43
2295
44
2290
45
2178
46
1918
47
2302
48
768
49
1530
50
1902
51
1137
52
1533
53
1148
54
575
55
2302
56
1499
57
1811
58
832
59
857
60
198
62
383
63
384
64
1152
65
767
66
767
67
766
68
1152
69
726
70
384
71
761
72
767
73
750
74
749
75
768
76
384
77
767
78
768
79
384
80
384
81
384
82
768
See respective variable in data set of Block-3 for details
Sub_stratum
See respective variable in data set of Block-3 for details
699582
0
0
438382
1
40106
2
221094
See respective variable in data set of Block-3 for details
Village/Block Sr. No.(FSU)
See respective variable in data set of Block-3 for details
699582
0
See respective variable in data set of Block-3 for details
Hamlet Group/Sub-block No.
See respective variable in data set of Block-3 for details
699582
0
0
534604
1
164978
See respective variable in data set of Block-3 for details
Second-stage stratum no.
See respective variable in data set of Block-3 for details
699582
0
1
307165
2
392417
See respective variable in data set of Block-3 for details
Flot
See respective variable in data set of Block-3 for details
699582
0
See respective variable in data set of Block-3 for details
Sample Household no.
See respective variable in data set of Block-3 for details
699582
0
01
119598
02
115084
03
111075
04
83637
05
78195
06
50839
07
35367
08
30497
09
22217
10
20564
11
7989
12
6898
13
5995
14
4997
15
3921
16
2709
See respective variable in data set of Block-3 for details
Commodity no
Commodity
699582
0
001
Rice(kg)
117581
002
Wheat(Kg)
114761
003
Atta(kg)
115542
004
Sugar(Kg)
117287
005
Edible Oil(Kg)
117162
006
Kerosene(litre)
117249
Mode of purchase (code)
Mode of purchase ( code )
699582
0
0
NR
964
1
193381
2
Purchase on a day to day basis
22400
3
72382
4
29151
5
205205
6
176092
9
Invalid
7
Availability in pds (code)
Information regarding the availability of the specified commodities in the pds will be collected and recorded in this column in codes.If a particular commodity is not supplied at all through the pds, code-1 will be recorded in column 4, against that commodity. On the other hand, if it is available from the pds but supply of that commodity is irregular, then code 6 will be recorded against that commodity. Other codes are self-explanatory.
699582
0
0
NA
7576
1
279367
2
11988
3
39148
4
26066
5
255457
6
79963
7
4
8
3
9
Invalid
10
Whether purchased from pds (code)
Whether purlchalsed during last month (codes)
Information as to whether a particular commodity listed in column(1) had been purchased during the last 40 days preceding the date of survey and if the household had purchased that item, the source of purchase will be ascertained and recorded in codes for each of the 6 specified commodities.
699582
0
1
113749
2
259352
3
92882
4
233599
Quantity of commodity purchased from pds
699582
0
0
500
1.963
6.485
PDS value(Rs)
Value of commodity purchased from pds
See Q.6 for details
699582
0
0
2550
9.081
30.281
Other source - quantity (0.0)
Quantity of commodity purchased from other sources
699582
0
0
8000
5.879
20.581
Other source - value (Rs)
Value of commodity purchased from other sources
See Q.8 for details
699582
0
0
4620
43.06
94.549
If not purchased from pds,reason
if not purchased from pds ( code 2 or 4 in column 5 ) reason?
When a household did not purchase a particular commodity from the pds during the reference period, the reason for not purchasing it from pds will be enquired and the reported reason will be recorded in col.( 10 ) in codes.
699582
0
0
NA
399982
1
7201
2
66189
3
63243
4
111665
5
19868
6
Not available in the required quantity
5799
7
5177
8
Invalid
26
9
20432
Home-grown:quantity(0.0)
Consumption of any of the six items made out of home grown/produced stock i. e. out of good produced by the household in its own farm or manufacturing establishments during the last 30 days will be recorded. The quantity of an item consumed out of home-grown stock will be recorded in col.(11) and its value will be recorded in col.(12). The value will be imputed at the ex-far/ex-factory price. Produced and brought from village home and consumed in urban residence will also be treated as `home grown` stock. Home produced agricultural production include any produce obtained from cultivation by household or obtained in the form of rent-share of land leased out. It may be noted here that when wheat is grown by the household but consumed in the form of atta. Then consumption of atta (not wheat) out of home grown stock will be considered to have taken place and is to be recorded against ` atta`.
699582
0
0
2000
2.848
15.54
Home-grown :Value (Rs)
See Q.11 for details
699582
0
0
20000000
43.061
23913.012
Total quantity (0.0)
total consumption during last month - quantity
699582
0
0
2000070
13.8
2391.347
Total Value (Rs)
total consumption during last month - Value
699582
0
0
4200
67.705
117.736
Fractile(MPCE)-State
699582
0
01
122076
02
77555
03
70706
04
62423
05
64211
06
62930
07
61405
08
60505
09
59499
10
32144
11
26128
Generated variables
Fractile(MPCE)-All India
699582
0
01
125639
02
85519
03
71451
04
66251
05
64162
06
61065
07
59781
08
56982
09
55359
10
27363
11
26010
Generated variables
Fractile(Area)-State
699582
0
01
224243
02
100571
03
86055
04
73964
05
58457
06
47903
07
42439
08
33118
09
23370
10
6411
11
3051
Generated variables
Fractile(Area)-All India
699582
0
01
234169
02
102455
03
83606
04
69443
05
56665
06
46340
07
39380
08
32350
09
22227
10
7559
11
5388
Generated variables
Monthly per capita expenditure(0.00)
699582
0
0
20500
300.981
227.2
Generated variables
Multiplier-Subsample(0.00)
699582
0
0.85
237996.2
2613.489
4071.732
Generated Weight variable
Multiplier-Combined(0.00)
699582
0
0.42
118998.1
1310.645
2044.88
Generated Weight variable
Key to identify hhold
11322
0
Generated KEY variable
Round-Schedule
See respective variables in data set of block-3 for details
11322
0
See respective variables in data set of block-3 for details
493
11322
Record Identifier
See respective variables in data set of block-3 for details
11322
0
See respective variables in data set of block-3 for details
11
11322
Sample
See respective variables in data set of block-3 for details
11322
0
See respective variables in data set of block-3 for details
1
Central sample
11322
2
State sample
0
Sub-Round
See respective variables in data set of block-3 for details
11322
0
See respective variables in data set of block-3 for details
1
Sub-round-1
6410
2
Sub-round-2
4912
Sub_sample
See respective variables in data set of block-3 for details
11322
0
See respective variables in data set of block-3 for details
1
Sub-sample-1
5750
2
Sub-sample-2
5572
Sector
See respective variables in data set of block-3 for details
11322
0
See respective variables in data set of block-3 for details
1
Rural
4944
2
Urban
6378
State
See respective variables in data set of block-3 for details
11322
0
See respective variables in data set of block-3 for details
02
Andhra Pradesh
2033
03
Arunachal Pradesh
9
04
Assam
88
05
Bihar
1434
06
Goa
0
07
Gujarat
563
08
Haryana
202
09
Himachal Pradesh
16
10
Jammu & Kashmir
1
11
Karnataka
473
12
Kerala
40
13
Madhya Pradesh
559
14
Maharashtra
2321
15
Manipur
72
16
Meghalaya
106
17
Mizoram
108
18
Nagaland
19
19
Orissa
361
20
Punjab
53
21
Rajasthan
200
22
Sikkim
33
23
Tamil Nadu
780
24
Tripura
34
25
Uttar Pradesh
531
26
West Bengal
861
27
A & N Islands
0
28
Chandigarh
36
29
Dadra & Nagar Haveli
0
30
Daman & Diu
20
31
Delhi
297
32
Lakshdweep
0
33
Pondicherry
72
Region
See respective variables in data set of block-3 for details
11322
0
See respective variables in data set of block-3 for details
1
Region-1
3891
2
Region-2
2888
3
Region-3
2574
4
Region-4
1012
5
Region-5
707
6
Region-6
224
7
Region-7
26
Stratum_No
See respective variables in data set of block-3 for details
11322
0
See respective variables in data set of block-3 for details
Sub_stratum
See respective variables in data set of block-3 for details
11322
0
See respective variables in data set of block-3 for details
Village/Block Sr. No.(FSU)
See respective variables in data set of block-3 for details
11322
0
See respective variables in data set of block-3 for details
Hamlet Group/Sub-block No.
See respective variables in data set of block-3 for details
11322
0
See respective variables in data set of block-3 for details
Second-stage stratum no.
See respective variables in data set of block-3 for details
11322
0
See respective variables in data set of block-3 for details
Flot no
See respective variables in data set of block-3 for details
11322
0
See respective variables in data set of block-3 for details
Sample Household no.
See respective variables in data set of block-3 for details
11322
0
See respective variables in data set of block-3 for details
Declared slum?
Whether the slum is a declared one ?
11322
0
0
NR
87
1
Yes
3225
2
No
7994
9
Invalid
16
Duration stay village/ Town (year)
Duration of stay in the village / town (years)
The period of stay in the village/town will be recorded in years rounded off to the nearest integer against this item. If the period of stay is less than 6 months, then the entry will be `0`.
11322
0
0
99
29.414
22.361
Duration of stay in slum(year)
Duration of stay in the slum (years) :
The period of stay in the alum will be ascertained and indicated in years rounded off to the nearest integer against this item. If the period of stay is less then 6 months, then the entery will be `0`
11322
0
0
99
24.422
22.24
Before slum, accommodation type
If the household was living in the same village/town before moving to the slum-type of accommodation availed of earlier
11322
0
0
NA
7903
1
135
2
1577
3
1030
4
676
9
Invalid
1
Reason for movement to slum
If the household was living in the same village/town before moving to the slum-Reason for movement to slum
11322
0
0
NA
7744
1
410
2
1627
3
Proximity to place of work
392
4
10
9
Invalid
1139
Possess specified document
Does the household posses specified document ?
11322
0
0
NR
610
1
7108
2
110
3
406
4
3069
9
Invalid
19
Any benefit?
whether received/expects any benefit as a slum dweller ?
It is to be ascertained whether or not the householdreceived/expects any benefit as a slum dweller and the appropriate code relating to the information given is to be recorded against this item.
11322
0
0
NR
579
1
Received allotment of land/tenement
896
2
1058
3
295
4
985
5
7508
9
Invalid
1
Whether tried to move out of the slum ?
This informant is to be asked whether or not the household ever tried to shift from the present place to a locality outside the slum. the answer obtained will be entered against this item in terms of codes.
11322
0
0
NR
571
1
Yes
454
2
No
10294
9
Invalid
3
Reason out of slum(code)
If the informant has at any time attempted to move out of the slum, the reason thereof will be given in terms of codes.
11322
0
0
NA
10875
1
323
2
Proximity to place of work
39
3
social / religious factors
24
9
61
Fractile(MPCE)-State
11322
0
01
2996
02
1890
03
1499
04
1182
05
981
06
765
07
749
08
505
09
485
10
165
11
105
Generated variable
Fractile(MPCE)-All India
11322
0
01
2733
02
1974
03
1499
04
1222
05
993
06
851
07
711
08
594
09
449
10
184
11
112
Generated variable
Fractile(Area)-State
11322
0
01
6178
02
1751
03
1129
04
766
05
520
06
339
07
303
08
186
09
107
10
29
11
14
Generated variable
Fractile(Area)-All India
11322
0
01
5803
02
1787
03
1142
04
821
05
588
06
430
07
296
08
240
09
145
10
36
11
34
Generated variable
Monthly per capita expenditure(0.00)
11322
0
0
3000
259.221
161.127
Generated variable
Multiplier-Subsample(0.00)
11322
0
1.28
59960.49
1914.587
3479.606
Generated weight variable
Multiplier-Combined
11322
0
0.64
29980.24
968.947
1774.545
Generated weight variable